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| 商品 | 説明 | 価格 |
|---|---|---|
 Kickstart Artificial Intelligence Fundamentals Master Machine Learning, Neural Networks, and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras (English Edition)【電子書籍】[ Dr.S.Mahesh Anand ] 楽天Kobo電子書籍ストア | ＜p＞Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.Key Features● Hands-on AI guide with Python, TensorFlow, and Keras implementations.● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models.● Bridges AI theory with real-world applications and coding exercises.Book DescriptionAI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice.Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners.Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behindーembrace AI and future-proof your career today!What you will learn● Build and train machine learning models for real-world datasets.● Apply neural networks to classification and regression tasks.● Implement CNNs and LSTMs for vision and sequence modeling.● Solve AI problems using Python, TensorFlow, and Keras.● Fine-tune pre-trained models for domain-specific applications.● Explore generative AI for creative and industrial use cases.Table of Contents1. Introduction and Evolution of AI Technologies2. Modern Approach to AI3. Introduction to Machine Learning4. Regression Versus Classification Model5. Naive Bayes as a Linear Classifier6. Tree-Based Machine Learning Models7. Distance-Based Machine Learning Models8. Support Vector Machines9. Introduction to Artificial Neural Networks10. Training Neural Networks11. Introduction to Convolutional Neural Networks12. Classification Using CNN13. Pre-trained CNN Architectures14. Introduction to Recurrent Neural Networks15. Introduction to Long Short-Term Memory (LSTM)16. Application of LSTM in NLP and TS Forecasting17. Emerging Trends and Ethical Considerations in AI IndexAbout the AuthorsDr. S. Mahesh Anand is a distinguished educator, corporate trainer, keynote speaker, and consultant specializing in data science, machine learning, and artificial intelligence. With over two decades of experience, Dr. Anand has been instrumental in shaping the learning journey of more than 50,000 students and professionals across India.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 2,387円 |
 Kickstart Artificial Intelligence Fundamentals: Master Machine Learning, Neural Networks, and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras【電子書籍】[ Dr. S.Mahesh ] 楽天Kobo電子書籍ストア | ＜p＞Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions.＜/p＞ ＜p＞Key Features＜/p＞ ＜p＞● Hands-on AI guide with Python, TensorFlow, and Keras implementations.＜/p＞ ＜p＞● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models.＜/p＞ ＜p＞● Bridges AI theory with real-world applications and coding exercises.＜/p＞ ＜p＞Book Description＜/p＞ ＜p＞AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.＜/p＞ ＜p＞Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice.＜/p＞ ＜p＞Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners.＜/p＞ ＜p＞Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behindーembrace AI and future-proof your career today!＜/p＞ ＜p＞What you will learn＜/p＞ ＜p＞● Build and train machine learning models for real-world datasets.＜/p＞ ＜p＞● Apply neural networks to classification and regression tasks.＜/p＞ ＜p＞● Implement CNNs and LSTMs for vision and sequence modeling.＜/p＞ ＜p＞● Solve AI problems using Python, TensorFlow, and Keras.＜/p＞ ＜p＞● Fine-tune pre-trained models for domain-specific applications.＜/p＞ ＜p＞● Explore generative AI for creative and industrial use cases.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 2,712円 |
 Scalable Artificial Intelligence for Healthcare Advancing AI Solutions for Global Health Challenges【電子書籍】 楽天Kobo電子書籍ストア | ＜p＞This edited volume examines the transformative impact of AI technologies on global healthcare systems, with a focus on enhancing efficiency and accessibility. The content provides a comprehensive exploration of the principles and practices required to scale AI applications in healthcare, addressing areas such as diagnosis, treatment, and patient care.＜/p＞ ＜p＞Key topics include data scalability, model deployment, and infrastructure design, highlighting the use of microservices, containerization, cloud computing, and big data technologies in building scalable AI systems. Discussions cover advancements in machine learning models, distributed processing, and transfer learning, alongside critical considerations such as continuous integration, data privacy, and ethics. Real-world case studies depict both the successes and challenges of implementing scalable AI across various healthcare environments, offering valuable insights for future advancements.＜/p＞ ＜p＞This volume serves as a practical and theoretical guide for healthcare professionals, AI researchers, and technology enthusiasts seeking to develop or expand on AI-driven healthcare solutions to address global health challenges effectively.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 10,777円 |
 Tomorrow's Risk and Security AI Solutions【電子書籍】[ Tushar Gulati ] 楽天Kobo電子書籍ストア | ＜p＞"Tomorrow's Risk and Security: AI Solutions" offers an in-depth exploration of the critical aspects of artificial intelligence (AI) in the context of risk management and security design. We guide readers through the evolving landscape of AI technologies, highlighting the fusion of innovation and the need for responsible and secure practices.＜br /＞ We delve into the foundational principles of securing AI ecosystems, providing a solid groundwork for understanding AI risk management. Cutting-edge strategies are explored, ensuring that security measures evolve alongside technological advancements. Our book also emphasizes the delicate balance between pushing AI capabilities and fortifying safeguards against potential threats, with a keen focus on ethical considerations.＜br /＞ Each chapter covers a range of topics, from adversarial attacks and biometric authentication to the ethical considerations in AI development. We acknowledge the dynamic nature of the AI landscape, filled with possibilities and challenges, and emphasize the need for equilibrium between innovation and security.＜br /＞ This comprehensive guide is essential for anyone involved in AI technologies, providing practical insights and strategies for building secure and responsible AI systems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,612円 |
 Architecting Power BI Solutions in Microsoft Fabric Design optimal solutions using Power BI to address common data problems【電子書籍】[ Nagaraj Venkatesan ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Master Power BI and Microsoft Fabric to design scalable, secure, and efficient business intelligence solutions Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Make well-informed decisions while selecting the right Power BI component for a scenario＜/li＞＜li＞Learn how to design secure and performant solutions using Power BI＜/li＞＜li＞Familiarize yourself with the latest Power BI capabilities like AI features, Microsoft Fabric enhancements, and Git integration＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Business Intelligence (BI) tools like Power BI are used by a wide range of professionals, creating diverse and complex scenarios, and finding the right solution can be daunting, especially when multiple approaches exist for a single use case. The author distills his 17 years of experience on various data platform technologies in this book to walk you through various Power BI usage scenarios. The book is structured around Power BI usage scenarios, such as developing solutions for corporate BI reporting, self-service BI reporting, and Power BI for data scientists and independent software vendors (ISVs). Each part highlights common data issues encountered in the usage scenario, the correct approach to solve the problems, and supporting technical guidance. The chapters also introduce you to some of the latest enhancements in Power BI, such as Microsoft Fabric integration with Power BI, AI features like Copilot, Power BI Git integration, and Power BI Governance features. By the end of this book, you’ll have learned how to design optimal solutions using Power BI components and pick the right tool for the job, while adhering to security and performance best practices. \*Email sign-up and proof of purchase required＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Explore Power BI fundamentals and usage scenarios＜/li＞＜li＞Get to grips with optimal data models and reports for corporate reporting＜/li＞＜li＞Leverage AI while building self-service reporting solutions＜/li＞＜li＞Discover AutoML, as well as Python and R integration features＜/li＞＜li＞Develop expert solutions for ISVs using Power BI Embedded＜/li＞＜li＞Understand Microsoft Fabric integration features for Power BI＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for anyone who uses Power BI at work. Solution architects, data engineers, Power BI administrators, and Power BI report developers will benefit from every section of the book. Business analysts and data scientists can use this book to learn about self-service BI features and data science capabilities, respectively. Although not mandatory, prior exposure to Power BI will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,304円 |
 Ultimate Generative AI Solutions on Google Cloud Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps【電子書籍】[ Arun Pandey ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!＜/strong＞＜/p＞ ＜p＞＜strong＞Key Features＜/strong＞＜/p＞ ＜p＞● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.＜/p＞ ＜p＞● Pro tips for fine-tuning models to achieve optimal performance.＜/p＞ ＜p＞● Industry-specific use cases for practical, hands-on learning.＜/p＞ ＜p＞＜strong＞Book Description＜/strong＞＜/p＞ ＜p＞Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.＜/p＞ ＜p＞Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.＜/p＞ ＜p＞By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.＜/p＞ ＜p＞＜strong＞What you will learn＜/strong＞＜/p＞ ＜p＞● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.＜/p＞ ＜p＞● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.＜/p＞ ＜p＞● Master prompt engineering techniques to enhance model performance with GCP tools.＜/p＞ ＜p＞● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.＜/p＞ ＜p＞● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.＜/p＞ ＜p＞● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring.＜/p＞ ＜p＞＜strong＞Table of Contents＜/strong＞＜/p＞ ＜ol＞ ＜li＞ ＜p＞Generative AI Essentials＜/p＞ ＜/li＞ ＜li＞ ＜p＞Google Cloud Basics＜/p＞ ＜/li＞ ＜li＞ ＜p＞Getting Started with Large Language Models＜/p＞ ＜/li＞ ＜li＞ ＜p＞Prompt Engineering and Contextual Learning＜/p＞ ＜/li＞ ＜li＞ ＜p＞Fine-Tuning a Large Language Model＜/p＞ ＜/li＞ ＜li＞ ＜p＞Parameter-Efficient Fine-Tuning (PEFT)＜/p＞ ＜/li＞ ＜li＞ ＜p＞Reinforcement Learning with Human Feedback＜/p＞ ＜/li＞ ＜li＞ ＜p＞Model Optimization＜/p＞ ＜/li＞ ＜li＞ ＜p＞LLMOps for Managing and Monitoring AI Projects＜/p＞ ＜/li＞ ＜li＞ ＜p＞Harnessing RAG and LangChain＜/p＞ ＜/li＞ ＜li＞ ＜p＞Case Studies and Real-World Implementations.＜/p＞ ＜/li＞ ＜/ol＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,007円 |
 DeepSeek AI from Beginner to Paid Professional, 1 Master DeepSeek with Hands-On Practice, Real-World Applications and Scalable AI Solutions【電子書籍】[ Bolakale Aremu ] 楽天Kobo電子書籍ストア | ＜p＞Welcome to Part 1 of ＜strong＞＜em＞DeepSeek AI from Beginner to Paid Professional＜/em＞!＜/strong＞ In this installment, we dive into DeepSeek, a cutting-edge platform that is revolutionizing the way we build, deploy, and scale AI solutions. Whether you're a beginner taking your first steps into generative AI or an intermediate learner looking to deepen your expertise, this part of the series will equip you with the hands-on skills and practical knowledge to master DeepSeek and create deployable AI applications.＜/p＞ ＜p＞This book is an essential read for anyone who wants to understand not just ＜em＞how＜/em＞ to use AI, but ＜em＞why＜/em＞ it matters in the context of today's rapidly evolving world. By understanding the societal and ethical dimensions of AI, you'll be better equipped to create solutions that are not only innovative but also responsible and impactful.＜/p＞ ＜p＞Let's embark on this exciting journey to master DeepSeek, where you'll learn through step-by-step projects, real-world applications, and scalable AI solutions. Whether you're building your first AI model or deploying advanced systems in production, this part of the series will empower you to turn your ideas into reality. Let's get started!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,691円 |
 MuleSoft for Salesforce Developers A complete guide for achieving Mulesoft certification readiness and building AI-driven API solutions【電子書籍】[ Akshata Sawant ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Design, secure, test, and deploy APIs with MuleSoft, and learn to integrate it with Salesforce by utilizing the latest features＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Work with the new additions to MuleSoft like Visual Editor, Anypoint Code Builder, and AI＜/li＞＜li＞Enhance your MuleSoft expertise by incorporating AI and automation＜/li＞＜li＞Prepare to achieve MCD Level 1 certification with expert insights from Akshata Sawant and Arul Christhuraj Alphonse＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Salesforce developers often need help with complex integrations to manage multi-cloud environments, data mapping, data security, API scalability, and real-time integration issues. Written by industry veterans with 20+ years of experience, this revised edition will help you overcome these challenges and unlock data with MuleSoft. In this second edition, you’ll learn about MuleSoft’s newest IDE (aka Anypoint Code Builder) and its tools and capabilities. The chapters will show you how to use AI-enabled APIs to maximize productivity, integration of Data Cloud with MuleSoft, Mule APIs with AI agents, and Mule AI Chain connectors. You’ll grasp the fundamentals of APIs and integration and confidently design your APIs, while also utilizing a no-code visual editor for API design to build your Mule applications using MuleSoft’s Anypoint Code Builder. The chapters will teach you about data transformation, API management, deployment models, and MuleSoft’s security features. Progressively, you’ll leverage MuleSoft connectors to integrate with Salesforce, Data Cloud, and other systems. You’ll explore AI-driven integrations and automation, and get practical tips to ace MuleSoft interviews and achieve MCD Level 1 certification. By the end of this book, you’ll be able to implement the entire API lifecycle and manage complex integrations with MuleSoft like a pro.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the fundamentals of MuleSoft APIs and integrations＜/li＞＜li＞Unlock siloed data and implement the API lifecycle with MuleSoft's latest capabilities＜/li＞＜li＞Get started with AnyPoint Code Builder with the capabilities of MuleSoft IDEs＜/li＞＜li＞Understand DataWeave to build, secure, transform, and test MuleSoft applications＜/li＞＜li＞Explore CloudHub 2.0 features along with other deployment models＜/li＞＜li＞Gain expertise in MuleSoft connectors, security configuration, and integration of AI and automation＜/li＞＜li＞Attain practical guidance and interview tips to achieve MCD level 1 certification＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Salesforce developers starting their journey with MuleSoft. Salesforce architects will also find the concepts beneficial for effective solutions. A basic understanding of any programming language, fundamental integration concepts, familiarity with APIs, and basic knowledge of Salesforce development are necessary. Experience with at least one Salesforce API is neededーbe it SOAP, REST, Bulk, or Streaming API.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,395円 |
 Ultimate Generative AI Solutions on Google Cloud Practical Strategies for Building and Scaling Generative AI Solutions with Google Cloud Tools, Langchain, RAG, and LLMOps (English Edition)【電子書籍】[ Arun Pandey ] 楽天Kobo電子書籍ストア | ＜p＞Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!＜br /＞ Book Description＜br /＞ Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.＜br /＞ Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.＜br /＞ By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.＜br /＞ Table of Contents＜/p＞ ＜ol＞ ＜li＞Generative AI Essentials2. Google Cloud Basics3. Getting Started with Large Language Models4. Prompt Engineering and Contextual Learning5. Fine-Tuning a Large Language Model6. Parameter-Efficient Fine-Tuning (PEFT)7. Reinforcement Learning with Human Feedback8. Model Optimization9. LLMOps for Managing and Monitoring AI Projects10. Harnessing RAG and LangChain11. Case Studies and Real-World Implementations＜br /＞ Index＜/li＞ ＜/ol＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,308円 |
 Ultimate Generative AI Solutions on Google Cloud【電子書籍】[ Arun Pandey ] 楽天Kobo電子書籍ストア | ＜p＞Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!Key Features● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.● Pro tips for fine-tuning models to achieve optimal performance.● Industry-specific use cases for practical, hands-on learning.Book DescriptionGenerative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.What you will learn● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.● Master prompt engineering techniques to enhance model performance with GCP tools.● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run.● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring.Table of Contents1. Generative AI Essentials2. Google Cloud Basics3. Getting Started with Large Language Models4. Prompt Engineering and Contextual Learning5. Fine-Tuning a Large Language Model6. Parameter-Efficient Fine-Tuning (PEFT)7. Reinforcement Learning with Human Feedback8. Model Optimization9. LLMOps for Managing and Monitoring AI Projects10. Harnessing RAG and LangChain11. Case Studies and Real-World Implementations IndexAbout the AuthorsArun Pandey is a distinguished technology leader and AI innovator with over 20 years of experience in the f ields of Generative AI, deep learning, and enterprise solutions. As a serial entrepreneur and co-founder of multiple AI startups, he has made significant contributions to the industry, earning recognition as a top global AI influencer and an award-winning author.Arun's extensive background includes leading high-performing teams in Fortune 500 companies, where he generated over USD 3 billion in revenue through innovative technology solutions. His passion for knowledge and commitment to sharing insights have culminated in this book, aimed at empowering readers to harness the power of Generative AI on Google Cloud.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 2,647円 |
 Ultimate Generative AI Solutions on Google Cloud【電子書籍】[ Arun Pandey ] 楽天Kobo電子書籍ストア | ＜p＞Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud!＜/p＞ ＜p＞Key Features＜/p＞ ＜p＞● Step-by-step guidance for building Generative AI apps on Google Cloud Platform.＜/p＞ ＜p＞● Pro tips for fine-tuning models to achieve optimal performance.＜/p＞ ＜p＞● Industry-specific use cases for practical, hands-on learning.＜/p＞ ＜p＞＜strong＞Book Description＜/strong＞＜/p＞ ＜p＞Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. ＜strong＞The Ultimate Generative AI Solutions on Google Cloud＜/strong＞ is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions.＜/p＞ ＜p＞Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease.＜/p＞ ＜p＞By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP.＜/p＞ ＜p＞＜strong＞What you will learn＜/strong＞＜/p＞ ＜p＞● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG.＜/p＞ ＜p＞● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives.＜/p＞ ＜p＞● Master prompt engineering techniques to enhance model performance with GCP tools.＜/p＞ ＜p＞● Optimize production AI for efficiency and scalability using GCP's Cloud Functions and Cloud Run.＜/p＞ ＜p＞● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps.＜/p＞ ＜p＞● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring.＜/p＞ ＜p＞＜strong＞Table of Contents＜/strong＞＜/p＞ ＜ol＞ ＜li＞ ＜p＞Generative AI Essentials＜/p＞ ＜/li＞ ＜li＞ ＜p＞Google Cloud Basics＜/p＞ ＜/li＞ ＜li＞ ＜p＞Getting Started with Large Language Models＜/p＞ ＜/li＞ ＜li＞ ＜p＞Prompt Engineering and Contextual Learning＜/p＞ ＜/li＞ ＜li＞ ＜p＞Fine-Tuning a Large Language Model＜/p＞ ＜/li＞ ＜li＞ ＜p＞Parameter-Efficient Fine-Tuning (PEFT)＜/p＞ ＜/li＞ ＜li＞ ＜p＞Reinforcement Learning with Human Feedback＜/p＞ ＜/li＞ ＜li＞ ＜p＞Model Optimization＜/p＞ ＜/li＞ ＜li＞ ＜p＞LLMOps for Managing and Monitoring AI Projects＜/p＞ ＜/li＞ ＜li＞ ＜p＞Harnessing RAG and LangChain＜/p＞ ＜/li＞ ＜li＞ ＜p＞Case Studies and Real-World Implementations＜/p＞ ＜/li＞ ＜/ol＞ ＜p＞＜strong＞Index＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 2,812円 |
 AI Solutions for the United Nations Sustainable Development Goals (UN SDGs) A Practical Approach Using JavaScript【電子書籍】[ Tulsi Pawan Fowdur ] 楽天Kobo電子書籍ストア | ＜p＞Learn the United Nations Sustainable Development Goals (UN SDGs) and see how machine learning can significantly contribute to their realization. This book imparts both theoretical knowledge and hands-on experience in comprehending and constructing machine learning-based applications for addressing multiple UN SDGs using JavaScript.＜/p＞ ＜p＞The reading begins with a delineation of diverse UN SDG targets, providing an overview of previous successful applications of machine learning in solving realistic problems aligned with these targets. It thoroughly explains fundamental concepts of machine learning algorithms for prediction and classification, coupled with their implementation in JavaScript and HTML programming.＜/p＞ ＜p＞Detailed case studies examine challenges related to renewable energy, agriculture, food production, health, environment, climate change, water quality, air quality, and telecommunications, corresponding to various UN SDGs. Each case study includes related works, datasets, machine learning algorithms, programming concepts, and comprehensive explanations of JavaScript and HTML codes used for web-based machine learning applications. The results obtained are meticulously analyzed and discussed, showcasing the pivotal role of machine learning in advancing the relevant SDGs.＜/p＞ ＜p＞By the end of this book, you’ll have a firm understanding of SDG fundamentals and the practical application of machine learning to address diverse challenges associated with these goals.＜/p＞ ＜p＞＜strong＞What You’ll Learn＜/strong＞＜/p＞ ＜ul＞ ＜li＞Understand the fundamental concepts of the UN SDGs, AI, and machine learning algorithms.＜/li＞ ＜li＞Employ the correct machine learning algorithms to address challenges on the United Nations Sustainable Development Goals (UN SDGs)?＜/li＞ ＜li＞Develop web-based machine learning applications for the UN SDGs using Javascript, and HTML.＜/li＞ ＜li＞Analyze the impact of a machine learning-based solution on a specific UN SDG.＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞ ＜p＞Data scientists, machine learning engineers, software professionals, researchers, and graduate students.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 7,292円 |
 Architecting Enterprise AI Applications A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions【電子書籍】[ Anton Cagle ] 楽天Kobo電子書籍ストア | ＜p＞This book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them.＜/p＞ ＜p＞The book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, machine learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate.＜/p＞ ＜p＞This book is a comprehensive guide that not only equips developers, architects, and product owners with the technical know-how of AI application development, but also delves into the broader implications for teams and society.＜/p＞ ＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞ ＜ul＞ ＜li＞Understand the algorithms and processes that enable AI to make accurate predictions and enhance decision making＜/li＞ ＜li＞Grasp the concept of metasystems and their role in the design phase of AI applications＜/li＞ ＜li＞Know how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications＜/li＞ ＜li＞Know the architectural components necessary for scalable and maintainable multi-agent AI applications＜/li＞ ＜li＞Understand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications＜/li＞ ＜li＞Understand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This book Is For＜/strong＞＜/p＞ ＜p＞A diverse audience, primarily targeting enterprise architects, middle managers, tech leads, and team leads entrenched in the IT sector or possessing a tech-savvy background, including professionals such as digital marketers. Additionally, tech-savvy individual contributorsーranging from digital content creators and data analysts to administrators and programmersーstand to benefit significantly.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,685円 |
 Generative AI on Google Cloud with LangChain Design scalable generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud【電子書籍】[ Leonid Kuligin ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud＜/li＞＜li＞Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics＜/li＞＜li＞Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions. You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers. Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Build enterprise-ready applications with LangChain and Google Cloud＜/li＞＜li＞Navigate and select the right Google Cloud generative AI tools＜/li＞＜li＞Apply modern design patterns for generative AI applications＜/li＞＜li＞Plan and execute proof-of-concepts for enterprise AI solutions＜/li＞＜li＞Gain hands-on experience with LangChain's and Google Cloud's AI products＜/li＞＜li＞Implement advanced techniques for text generation and summarization＜/li＞＜li＞Leverage Vertex AI Search and other tools for scalable AI solutions＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞If you’re an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,874円 |
 Tech's Exam AI-100 Designing and Implementing an Azure AI Solution interview learning set Best Questions and Answers【電子書籍】[ TECH EBOOKS ] 楽天Kobo電子書籍ストア | ＜p＞Trust us for best outcomes, at the best cost. It improved with definite and invigorate questions. We improve on your excursion as we outfit you with learning materials. Word plan will be given, which might be get printed to test your insight. We are given you quality demands so we will trust u like it. Grateful to you!＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,491円 |
 Apache Spark for Machine Learning Build and deploy high-performance big data AI solutions for large-scale clusters【電子書籍】[ Deepak Gowda ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Develop your data science skills with Apache Spark to solve real-world problems for Fortune 500 companies using scalable algorithms on large cloud computing clusters＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Apply techniques to analyze big data and uncover valuable insights for machine learning＜/li＞＜li＞Learn to use cloud computing clusters for training machine learning models on large datasets＜/li＞＜li＞Discover practical strategies to overcome challenges in model training, deployment, and optimization＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes. This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks. By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Master Apache Spark for efficient, large-scale data processing and analysis＜/li＞＜li＞Understand core machine learning concepts and their applications with Spark＜/li＞＜li＞Implement data preprocessing techniques for feature extraction and transformation＜/li＞＜li＞Explore supervised learning methods ? regression and classification algorithms＜/li＞＜li＞Apply unsupervised learning for clustering tasks and recommendation systems＜/li＞＜li＞Discover frequent pattern mining techniques to uncover data trends＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is ideal for data scientists, ML engineers, data engineers, students, and researchers who want to deepen their knowledge of Apache Spark’s tools and algorithms. It’s a must-have for those struggling to scale models for real-world problems and a valuable resource for preparing for interviews at Fortune 500 companies, focusing on large dataset analysis, model training, and deployment.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,444円 |
 Getting Started with Azure OpenAI Deploying and Managing Azure AI and Azure OpenAI Solutions【電子書籍】[ Shimon Ifrah ] 楽天Kobo電子書籍ストア | ＜p＞Learn to develop AI solutions using Azure SDK for .NET and deploy them on Microsoft Azure infrastructure. The book will teach you how to deploy Azure OpenAI services using Azure PowerShell, Azure CLI, and Azure API, as well as how to develop a variety of AI solutions using Azure AI services and tools.＜/p＞ ＜p＞The book starts with an introduction to Azure AI and OpenAI, followed by a thorough n exploration of the necessary tools and services for deploying OpenAI in Azure. It covers Azure PowerShell, Copilot, and Azure CLI, and includes guidance on using Terraform with Azure OpenAI resources. Subsequently, detailed discussions on developing the Azure .NET SDK for Azure OpenAI and AI Services, alongside its use cases, are provided. Progressing further, readers will gain insight into initiating with Azure AI Studio and building Copilot with its help. Finally, various Azure AI services and AI tools are covered, encompassing GitHub Copilot for code writing and management.＜/p＞ ＜p＞After reading the book, you will be able to develop AI solutions in Azure and deploy its services in OpenAI.＜/p＞ ＜p＞＜strong＞What You Will Learn:＜/strong＞＜/p＞ ＜ul＞ ＜li＞Develop a Copilot using Azure AI Studio＜/li＞ ＜li＞Access Azure AI and OpenAI services using API＜/li＞ ＜li＞Deploy Azure AI Services using Azure CLI , PowerShell and Terraform＜/li＞ ＜li＞The use of Postman to connect to Azure OpenAI＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This Book Is for:＜/strong＞＜/p＞ ＜p＞This book will be helpful for System Administrators and Azure Administrators＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 7,292円 |
 Privacy in the Age of Innovation AI Solutions for Information Security【電子書籍】[ Ranadeep Reddy Palle ] 楽天Kobo電子書籍ストア | ＜p＞This book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security.＜/p＞ ＜p＞The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations.＜/p＞ ＜p＞In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security.＜/p＞ ＜p＞What you will learn:＜/p＞ ＜ul＞ ＜li＞How AI is being used to detect and prevent cyberattacks in real-time＜/li＞ ＜li＞What are the AI-powered techniques for anonymizing and de-identifying data,＜/li＞ ＜li＞What are the latest advancements in AI-powered privacy-enhancing technologies (PETs)＜/li＞ ＜li＞How to find the right balance between security and privacy＜/li＞ ＜/ul＞ ＜p＞Who this book is for:＜/p＞ ＜p＞Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information security＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,076円 |
 Microsoft Power BI Performance Best Practices Learn practical techniques for building high-speed Power BI solutions【電子書籍】[ Thomas LeBlanc ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Maximize the effectiveness of your Power BI solutions through performance optimization and drive superior business outcomes＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn how to build performant data models and apply row-level security＜/li＞＜li＞Identify and fix performance issues in reports, DAX, and datasets using DAX Studio and VertiPaq Analyzer＜/li＞＜li＞Implement a formal process for performance management, from setting targets to monitoring and remediating issues＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞In a world dominated by data, organizations heavily rely on business intelligence tools like Power BI for deriving insights and informed decision-making. Yet, as data volumes grow and user demands increase, achieving optimal performance becomes challenging. Author Thomas LeBlanc, a seasoned Business Intelligence Architect with over 30 years of IT experience, draws on his extensive expertise to guide you in overcoming challenges related to slow performance, data modeling, query optimization, visualization design, deployment, administration, integration, compliance, and security. This book covers topics ranging from architecture and data modeling to Power BI premium features, DAX formulas, and collaboration, helping you to gain a deep understanding of the Power BI architecture, design efficient data models, create efficient queries, and improve visualization performance. You’ll also learn best practices to deploy and manage Power BI solutions, integrate with other tools and systems, ensure compliance and security, and collaborate with team members. By the end of the book, you’ll have developed your knowledge and skills to design, build, and maintain high-performing, scalable, and efficient Power BI solutions to drive unparalleled business success.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Master setting realistic performance targets and proactively addressing performance challenges＜/li＞＜li＞Understand the impact of architectural choices and configurations on performance optimization＜/li＞＜li＞Develop streamlined Power BI reports and enhance data transformations for optimal efficiency＜/li＞＜li＞Explore best practices for data modeling, mastering DAX, and handling large datasets effectively＜/li＞＜li＞Gain insight into the intricate workings of Power BI Premium for enhanced performance＜/li＞＜li＞Harness the potential of Azure services for extreme scale data processing＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞If you are a data analyst, BI developer, or a data professional who wants to maximize the performance of your Power BI solutions and understand how to build advanced analytics solutions, this book is for you. It assumes familiarity with the major components of Power BI and a beginner-level understanding of their purpose and use cases.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,874円 |
 AI Development for the Modern World A Comprehensive Guide to Building and Integrating AI Solutions【電子書籍】[ Samantha Reed ] 楽天Kobo電子書籍ストア | ＜p＞When delving into the dynamic and rapidly evolving field of artificial intelligence (AI), "AI Development for the Modern World: Shaping the Future with Intelligent Systems: A Comprehensive Guide to Building and Integrating AI Solutions" stands out as an essential tool. This book offers a practical and comprehensive approach to understanding, creating, and integrating AI technology into various businesses, effectively bridging the gap between theoretical knowledge and real-world applications.＜/p＞ ＜p＞This comprehensive guide covers everything from AI fundamentals to sophisticated ideas and is appropriate for both novices and seasoned experts. It begins with core principles before going on to more complicated subjects like computer vision and natural language processing. It explains essential ideas like machine learning, deep learning, and neural networks. Every chapter is designed to help you thoroughly understand AI development by gradually increasing your expertise.＜/p＞ ＜p＞The book also strongly emphasizes practical application, offering thorough guidelines for gathering and preparing data, creating models, and implementing AI solutions. You'll discover how to use widely used AI frameworks and tools, use cloud-based AI systems, and incorporate AI into business solutions for improved automation and decision-making.＜/p＞ ＜p＞By exploring future trends in AI, this guide equips you with the knowledge and resources to navigate the opportunities and challenges that lie ahead. It also provides technical insights and ethical considerations, ensuring you are well-prepared to leverage intelligent systems for future innovation in your industry or to understand the broader societal impact of AI.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,408円 |
 Azure OpenAI Service for Cloud Native Applications Designing, Planning, and Implementing Generative AI Solutions【電子書籍】[ Adri?n Gonz?lez S?nchez ] 楽天Kobo電子書籍ストア | ＜p＞Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adri?n Gonz?lez S?nchez examines the integration and utilization of Azure OpenAI Serviceーusing powerful generative AI models such as GPT-4 and GPT-4oーwithin the Microsoft Azure cloud computing platform.＜/p＞ ＜p＞To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts.＜/p＞ ＜p＞Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you:＜/p＞ ＜ul＞ ＜li＞Learn how to implement cloud native applications with Azure OpenAI Service＜/li＞ ＜li＞Deploy, customize, and integrate Azure OpenAI Service with your applications＜/li＞ ＜li＞Customize large language models and orchestrate knowledge with company-owned data＜/li＞ ＜li＞Use advanced roadmaps to plan your generative AI project＜/li＞ ＜li＞Estimate cost and plan generative AI implementations for adopter companies＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,611円 |
 Business Intelligence with Looker Cookbook Create BI solutions and data applications to explore and share insights in real time【電子書籍】[ Khrystyna Grynko ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Use Looker for visualizing data, data analysis, and reporting, and learn how to connect to your data, build dashboards and reports, and share insights with your team＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore data visualization, analysis, and reporting with Looker to gain insights from your data＜/li＞＜li＞Connect to data sources, build dashboards, and create reports to track and share key metrics＜/li＞＜li＞Share insights with your team to make better business decisions＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Looker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions. You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization. By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand Looker's key components, including LookML, data models, and dashboards.＜/li＞＜li＞Explore Looker's functionality, including custom fields, calculations, and visualizations.＜/li＞＜li＞Work with Looker dashboards using dynamic elements like links and actions.＜/li＞＜li＞Use different types of filters for dimensions to create dashboards＜/li＞＜li＞Develop Looker applications using essential tools and frameworks＜/li＞＜li＞Explore additional applications for the Looker organization＜/li＞＜li＞Integrate Looker with other tools using APIs, connectors, and data pipelines＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞If you’re a business analyst, data analyst, or BI developer who wants to get well-versed with the features of Looker, this book is for you. Basic knowledge of business intelligence is required to get started.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,444円 |
 Scalable AI and Design Patterns Design, Develop, and Deploy Scalable AI Solutions【電子書籍】[ Abhishek Mishra ] 楽天Kobo電子書籍ストア | ＜p＞Understand and apply the design patterns outlined in this book to design, develop, and deploy scalable AI solutions that meet your organization's needs and drive innovation in the era of intelligent automation.＜/p＞ ＜p＞This book begins with an overview of scalable AI systems and the importance of design patterns in creating robust intelligent solutions. It covers fundamental concepts and techniques for achieving scalability in AI systems, including data engineering practices and strategies. The book also addresses scalable algorithms, models, infrastructure, and architecture considerations. Additionally, it discusses deployment, productionization, real-time and streaming data, edge computing, governance, and ethics in scalable AI. Real-world case studies and best practices are presented, along with insights into future trends and emerging technologies.＜/p＞ ＜p＞The book focuses on scalable AI and design patterns, providing an understanding of the challenges involved in developing AI systems that can handle large amounts of data, complex algorithms, and real-time processing. By exploring scalability, you will be empowered to design and implement AI solutions that can adapt to changing data requirements.＜/p＞ ＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞ ＜ul＞ ＜li＞Develop scalable AI systems that can handle large volumes of data, complex algorithms, and real-time processing＜/li＞ ＜li＞Know the significance of design patterns in creating robust intelligent solutions＜/li＞ ＜li＞Understand scalable algorithms and models to handle extensive data and computing requirements and build scalable AI systems＜/li＞ ＜li＞Be aware of the ethical implications of scalable AI systems＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞ ＜p＞AI practitioners, data scientists, and software engineers with intermediate-level AI knowledge and experience＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,685円 |
 Data Engineering with Databricks Cookbook Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake【電子書籍】[ Pulkit Chadha ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Work through 70 recipes for implementing reliable data pipelines with Apache Spark, optimally store and process structured and unstructured data in Delta Lake, and use Databricks to orchestrate and govern your data＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn data ingestion, data transformation, and data management techniques using Apache Spark and Delta Lake＜/li＞＜li＞Gain practical guidance on using Delta Lake tables and orchestrating data pipelines＜/li＞＜li＞Implement reliable DataOps and DevOps practices, and enforce data governance policies on Databricks＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Written by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark. What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You’ll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You’ll also go through the full process of setup and configuration of the Unity Catalog for data governance. By the end of this book, you’ll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Perform data loading, ingestion, and processing with Apache Spark＜/li＞＜li＞Discover data transformation techniques and custom user-defined functions (UDFs) in Apache Spark＜/li＞＜li＞Manage and optimize Delta tables with Apache Spark and Delta Lake APIs＜/li＞＜li＞Use Spark Structured Streaming for real-time data processing＜/li＞＜li＞Optimize Apache Spark application and Delta table query performance＜/li＞＜li＞Implement DataOps and DevOps practices on Databricks＜/li＞＜li＞Orchestrate data pipelines with Delta Live Tables and Databricks Workflows＜/li＞＜li＞Implement data governance policies with Unity Catalog＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data engineers, data scientists, and data practitioners who want to learn how to build efficient and scalable data pipelines using Apache Spark, Delta Lake, and Databricks. To get the most out of this book, you should have basic knowledge of data architecture, SQL, and Python programming.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,304円 |
 Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem【電子書籍】 楽天Kobo電子書籍ストア | ＜p＞The book offers insight into the healthcare system by exploring emerging technologies and AI-based applications and implementation strategies. It includes current developments for future directions as well as covering the concept of the healthcare system along with its ecosystem.＜/p＞ ＜p＞Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare.＜/p＞ ＜p＞This book will be useful to researchers involved in AI, IoT, Data, and emerging technologies in the medical industry. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 10,777円 |
 Azure Data and AI Architect Handbook Adopt a structured approach to designing data and AI solutions at scale on Microsoft Azure【電子書籍】[ Olivier Mertens ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Master core data architecture design concepts and Azure Data & AI services to gain a cloud data and AI architect’s perspective to developing end-to-end solutions Purchase of the print or Kindle book includes a free PDF eBook＜/b＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Translate and implement conceptual architectures with the right Azure services＜/li＞＜li＞Inject artificial intelligence into data solutions for advanced analytics＜/li＞＜li＞Leverage cloud computing and frameworks to drive data science workloads＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞With data’s growing importance in businesses, the need for cloud data and AI architects has never been higher. The Azure Data and AI Architect Handbook is designed to assist any data professional or academic looking to advance their cloud data platform designing skills. This book will help you understand all the individual components of an end-to-end data architecture and how to piece them together into a scalable and robust solution. You’ll begin by getting to grips with core data architecture design concepts and Azure Data & AI services, before exploring cloud landing zones and best practices for building up an enterprise-scale data platform from scratch. Next, you’ll take a deep dive into various data domains such as data engineering, business intelligence, data science, and data governance. As you advance, you’ll cover topics ranging from learning different methods of ingesting data into the cloud to designing the right data warehousing solution, managing large-scale data transformations, extracting valuable insights, and learning how to leverage cloud computing to drive advanced analytical workloads. Finally, you’ll discover how to add data governance, compliance, and security to solutions. By the end of this book, you’ll have gained the expertise needed to become a well-rounded Azure Data & AI architect.＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Design scalable and cost-effective cloud data platforms on Microsoft Azure＜/li＞＜li＞Explore architectural design patterns with various use cases＜/li＞＜li＞Determine the right data stores and data warehouse solutions＜/li＞＜li＞Discover best practices for data orchestration and transformation＜/li＞＜li＞Help end users to visualize data using interactive dashboarding＜/li＞＜li＞Leverage OpenAI and custom ML models for advanced analytics＜/li＞＜li＞Manage security, compliance, and governance for the data estate＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for anyone looking to elevate their skill set to the level of an architect. Data engineers, data scientists, business intelligence developers, and database administrators who want to learn how to design end-to-end data solutions and get a bird’s-eye view of the entire data platform will find this book useful. Although not required, basic knowledge of databases and data engineering workloads is recommended.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,304円 |
 Pro Power BI Architecture Development, Deployment, Sharing, and Security for Microsoft Power BI Solutions【電子書籍】[ Reza Rad ] 楽天Kobo電子書籍ストア | ＜p＞This book provides detailed guidance around architecting and deploying Power BI reporting solutions, including help and best practices for sharing and security. You’ll find chapters on dataflows, shared datasets, composite model and DirectQuery connections to Power BI datasets, deployment pipelines, XMLA endpoints, and many other important features related to the overall Power BI architecture that are new since the first edition.＜/p＞ ＜p＞You will gain an understanding of what functionality each of the Power BI components provide (such as Dataflow, Shared Dataset, Datamart, thin reports, and paginated reports), so that you can make an informed decision about what components to use in your solution. You will get to know the pros and cons of each component, and how they all work together within the larger Power BI architecture.＜/p＞ ＜p＞Commonly encountered problems you will learn to handle include content unexpectedly changing while users are in the process of creating reports and building analyses, methods of sharing analyses that don’t cover all the requirements of your business or organization, and inconsistent security models. Detailed examples help you to understand and choose from among the different methods available for sharing and securing Power BI content so that only intended recipients can see it.＜/p＞ ＜p＞The knowledge provided in this book will allow you to choose an architecture and deployment model that suits the needs of your organization. It will also help ensure that you do not spend your time maintaining your solution, but on using it for its intended purpose: gaining business value from mining and analyzing your organization’s data.＜/p＞ ＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞ ＜ul＞ ＜li＞Architect Power BI solutions that are reliable and easy to maintain＜/li＞ ＜li＞Create development templates and structures in support of reusability＜/li＞ ＜li＞Set up and configure the Power BI gateway as a bridge between on-premises data sourcesand the Power BI cloud service＜/li＞ ＜li＞Select a suitable connection typeーLive Connection, DirectQuery, Scheduled Refresh, or Composite Modelーfor your use case＜/li＞ ＜li＞Choose the right sharing method for how you are using Power BI in your organization＜/li＞ ＜li＞Create and manage environments for development, testing, and production＜/li＞ ＜li＞Secure your data using row-level and object-level security＜/li＞ ＜li＞Save money by choosing the right licensing plan＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞ ＜p＞Data analysts and developers who are building reporting solutions around Power BI, as well as architects and managers who are responsible for the big picture of how Power BI meshes with an organization’s other systems, including database and data warehouse systems.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 7,900円 |
 洋書 LTCi Solutions, LLC paperback Book, What Is Your Plan When Your Health Fails?: 14 Ways To Protect Your Assets, Investments, and Relationships From Long-Term Care Costs. Glomarket | *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。 ・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。 ・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。 ・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。 ・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文 | 5,394円 |
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洋書 Paperback, QlikView Essentials: Want to solve your Business Intelligence headaches? Learn how QlikView can help, and discover a yet accessible BI solution that lets you harness your data Glomarket | *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。 ・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。 ・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。 ・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。 ・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文 | 11,496円 |
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洋書 Paperback, Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions Glomarket | *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。 ・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。 ・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。 ・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。 ・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文 | 7,224円 |