Название: Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making 2nd Edition
Автор: Patanjali Kashyap
Издательство: Apress
Год: 2024
Страниц: 676
Язык: английский
Формат: pdf
Размер: 10.1 MB
This new and updated edition takes you through the details of Machine Learning to give you an understanding of cognitive computing, IoT, Big Data, AI, quantum computing, and more. The book explains how Machine Learning techniques are used to solve fundamental and complex societal and industry problems.This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in Machine Learning. A new chapter on quantum computers and Machine Learning is included to prepare you for future challenges. Insights for decision makers will help you understand Machine Learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of Machine Learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to Machine Learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, Quantum Machine Learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand Machine Learning, IoT, and cognitive computing and be prepared to cope with future challenges related to Machine Learning. Python is an interpreted and interactive object-oriented, high-level programming language. It is called a strong general-purpose programming language. Python places strong emphasis on code reliability and simplicity so that programmers can develop applications rapidly. It is a multi-paradigm programming language, which allows users to code in several different programming styles. Python is useful for scientific and Machine Learning related tasks.
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