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Author: Andy Pardoe
Publisher: Kogan Page Publishers
ISBN: 1398616214
Category : Computers
Languages : en
Pages : 297
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Book Description
Discover new skills, expand your knowledge and build your confidence through this fascinating and accessible guide to working with AI. Artificial intelligence has become an integral part of our everyday lives. But it remains an elusive, complex and intimidating technology that has hundreds of iterations and nuances. With Confident AI, build your confidence when working with AI by learning the fundamentals and discovering the intricacies of the industry. Andy Pardoe has spent decades working with AI, not only as an influential academic but also within corporations and as a consultant and accelerator for AI start-ups. He draws upon his expertise and lived experience to offer the essential skills and tools that you need to succeed with Artificial Intelligence, whether you are pursuing it as a career or simply working with AI in your work-life. About the Confident series... From coding and data science to cloud and cybersecurity, the Confident books are perfect for building your technical knowledge and enhancing your professional career.
Author: Andy Pardoe
Publisher: Kogan Page Publishers
ISBN: 1398616214
Category : Computers
Languages : en
Pages : 297
Get Book Here
Book Description
Discover new skills, expand your knowledge and build your confidence through this fascinating and accessible guide to working with AI. Artificial intelligence has become an integral part of our everyday lives. But it remains an elusive, complex and intimidating technology that has hundreds of iterations and nuances. With Confident AI, build your confidence when working with AI by learning the fundamentals and discovering the intricacies of the industry. Andy Pardoe has spent decades working with AI, not only as an influential academic but also within corporations and as a consultant and accelerator for AI start-ups. He draws upon his expertise and lived experience to offer the essential skills and tools that you need to succeed with Artificial Intelligence, whether you are pursuing it as a career or simply working with AI in your work-life. About the Confident series... From coding and data science to cloud and cybersecurity, the Confident books are perfect for building your technical knowledge and enhancing your professional career.
Author: Loveleen Gaur
Publisher: Springer Nature
ISBN: 3031556151
Category :
Languages : en
Pages : 141
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Book Description
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3030821994
Category : Technology & Engineering
Languages : en
Pages : 901
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Book Description
This book presents Proceedings of the 2021 Intelligent Systems Conference which is a remarkable collection of chapters covering a wider range of topics in areas of intelligent systems and artificial intelligence and their applications to the real world. The conference attracted a total of 496 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-review process. Of the total submissions, 180 submissions have been selected to be included in these proceedings. As we witness exponential growth of computational intelligence in several directions and use of intelligent systems in everyday applications, this book is an ideal resource for reporting latest innovations and future of AI. The chapters include theory and application on all aspects of artificial intelligence, from classical to intelligent scope. We hope that readers find the book interesting and valuable; it provides the state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Author: Adora Nwodo
Publisher: Kogan Page Publishers
ISBN: 1398616230
Category : Computers
Languages : en
Pages : 273
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Book Description
94% of all enterprises depend upon cloud services. Gain the edge in your career with this essential guide to the fundamental concepts and platforms of cloud computing. Cloud computing is part of our everyday lives, from cloud backups of personal data to cloud platforms powering businesses around the world. But do you really understand how cloud computing works? This comprehensive guide demystifies key concepts and gives you the confidence you need to succeed in this sector. Confident Cloud includes key concepts from FinOps and DevOps to Kubernets and automation. This is supported by practical guidance on working in the industry, alongside a variety of fascinating case studies, clarifying how cloud infrastructure is effectively deployed and maintained. About the Confident series... From coding and data science to cloud and cybersecurity, the Confident books are perfect for building your technical knowledge and enhancing your professional career.
Author: Kunal Miind
Publisher: BAKER & MCGILL
ISBN:
Category : Computers
Languages : en
Pages : 103
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Book Description
"AI System Blueprints: An Introductory Guide to Building High Performance Artificial Intelligence & Machine Learning Solutions" by Kunal Miind is an exhaustive resource for those seeking a firm foundation in the ever-changing field of artificial intelligence and machine learning. The book begins with an introduction to the fundamentals of machine learning, including the various forms of learning, important algorithms, and fundamental concepts. The section then delves into vital data preparation steps such as collection, cleansing, and feature engineering. The following chapters discuss model selection and evaluation, deep learning fundamentals, natural language processing, and computer vision. The book also explores reinforcement learning's component parts and algorithms. By providing a clear and concise comprehension of these fundamental topics, Kunal Miind's book equips readers with the knowledge necessary to develop high-performance AI and machine learning solutions for practical applications.
Author: Reyhan Aydoğan
Publisher: Springer Nature
ISBN: 3031212037
Category : Computers
Languages : en
Pages : 714
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Book Description
This book constitutes the refereed proceedings of the 23rd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2020, held in hybrid mode in Valencia, Spain, in November 2022. The 31 full papers presented together with 15 short papers and 1 demo paper were carefully reviewed and selected from 100 submissions. The conference covers a wide range of ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Author: Michael Harrison
Publisher: Springer Nature
ISBN: 3031592352
Category :
Languages : en
Pages : 233
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Book Description
Author: KC Santosh
Publisher: Springer Nature
ISBN: 9811667683
Category : Technology & Engineering
Languages : en
Pages : 93
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Book Description
This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
Author: Geoffrey Webb
Publisher: Springer
ISBN: 3540305491
Category : Computers
Languages : en
Pages : 1293
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Book Description
This book constitutes the refereed proceedings of the 17th Australian Conference on Artificial Intelligence, AI 2004, held in Cairns, Australia, in December 2004. The 78 revised full papers and 62 revised short papers presented were carefully reviewed and selected from 340 submissions. The papers are organized in topical sections on agents; biomedical applications; computer vision, image processing, and pattern recognition; ontologies, knowledge discovery and data mining; natural language and speech processing; problem solving and reasoning; robotics; and soft computing.
Author: Amit Bahree
Publisher: Simon and Schuster
ISBN: 1633436942
Category : Computers
Languages : en
Pages : 462
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Book Description
Generative AI can transform your business by streamlining the process of creating text, images, and code. This book will show you how to get in on the action! Generative AI in Action is the comprehensive and concrete guide to generative AI you’ve been searching for. It introduces both AI’s fundamental principles and its practical applications in an enterprise context—from generating text and images for product catalogs and marketing campaigns, to technical reporting, and even writing software. Inside, author Amit Bahree shares his experience leading Generative AI projects at Microsoft for nearly a decade, starting well before the current GPT revolution. Inside Generative AI in Action you will find: • A practical overview of of generative AI applications • Architectural patterns, integration guidance, and best practices for generative AI • The latest techniques like RAG, prompt engineering, and multi-modality • The challenges and risks of generative AI like hallucinations and jailbreaks • How to integrate generative AI into your business and IT strategy Generative AI in Action is full of real-world use cases for generative AI, showing you where and how to start integrating this powerful technology into your products and workflows. You’ll benefit from tried-and-tested implementation advice, as well as application architectures to deploy GenAI in production at enterprise scale. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology In controlled environments, deep learning systems routinely surpass humans in reading comprehension, image recognition, and language understanding. Large Language Models (LLMs) can deliver similar results in text and image generation and predictive reasoning. Outside the lab, though, generative AI can both impress and fail spectacularly. So how do you get the results you want? Keep reading! About the book Generative AI in Action presents concrete examples, insights, and techniques for using LLMs and other modern AI technologies successfully and safely. In it, you’ll find practical approaches for incorporating AI into marketing, software development, business report generation, data storytelling, and other typically-human tasks. You’ll explore the emerging patterns for GenAI apps, master best practices for prompt engineering, and learn how to address hallucination, high operating costs, the rapid pace of change and other common problems. What's inside • Best practices for deploying Generative AI apps • Production-quality RAG • Adapting GenAI models to your specific domain About the reader For enterprise architects, developers, and data scientists interested in upgrading their architectures with generative AI. About the author Amit Bahree is Principal Group Product Manager for the Azure AI engineering team at Microsoft. The technical editor on this book was Wee Hyong Tok. Table of Contents Part 1 1 Introduction to generative AI 2 Introduction to large language models 3 Working through an API: Generating text 4 From pixels to pictures: Generating images 5 What else can AI generate? Part 2 6 Guide to prompt engineering 7 Retrieval-augmented generation: The secret weapon 8 Chatting with your data 9 Tailoring models with model adaptation and fine-tuning Part 3 10 Application architecture for generative AI apps 11 Scaling up: Best practices for production deployment 12 Evaluations and benchmarks 13 Guide to ethical GenAI: Principles, practices, and pitfalls A The book’s GitHub repository B Responsible AI tools
