For newcomers, it gives a thorough introduction to the fundamentals of machine learning. The Hundred-Page Machine Learning BookĪndriy Burkov’s “ The Hundred-Page Machine Learning Book” is regarded by many industry experts as the best book on machine learning. The book is suitable for those who have a basic background in computer science, engineering, mathematics or statistics.Ħ. Each approach is described by using algorithms and mathematical models illustrated by detailed worked examples. It gives detailed descriptions of important machine learning approaches used in predictive analytics.įour main approaches are explained in very simple terms without using many technical jargons. This AI Book covers all the fundamentals of machine learning along with practical applications, working examples, and case studies. Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies Any reader with a non-Computer Science background will find this book interesting and easy to understand. It also discusses the future of machine learning and the ethical and legal implications for data privacy and security. The book on artificial intelligence gives examples of how machine learning is being used in our day-to-day lives and how it has infiltrated our daily existence.
It explains how digital technology has advanced from number-crunching machines to mobile devices, putting today’s machine learning boom in context. It describes its evolution, explains important learning algorithms, and presents example applications.
Machine Learning: The New AI gives a concise overview of machine learning. It also guides the reader to get the codes working on a Raspberry Pi. The third part gives a peek into the mysterious mind of a neural network. Part 2 is practical where readers are taught Python and are encouraged to create their own neural networks. The first part deals with the various mathematical ideas underlying the neural networks. Using Python language, it encourages its readers to build their own neural networks. It starts with very simple ideas and gradually builds up an understanding of how neural networks work. One of the books on artificial intelligence that provides its readers with a step-by-step journey through the mathematics of Neural Networks. Authored by two data science experts, this Artificial Intelligence book makes it easy for any layman to understand and implement machine learning seamlessly. It introduces a little coding in Python and R to tech machines to perform data analysis and pattern-oriented tasks.įrom small tasks and patterns, the readers can extrapolate the usefulness of machine learning through internet ads, web searches, fraud detection, and so on. It covers all the basic concepts and theories of machine learning and how they apply to the real world. Machine Learning for Dummies provides an entry point for anyone looking to get a foothold on Machine Learning. Overall, it’s a must-have book for any individual who would like to learn about AI. The book also touches upon advanced AI topics without going in-depth. The concepts covered include subjects such as search algorithms, game theory, multi-agent systems, statistical Natural Language Processing, local search planning methods, etc. The writing is simple and all concepts and explanations can be easily understood by the reader. It is less technical and gives an overview of the various topics revolving around AI.
This book on artificial intelligence has been considered by many as one of the best AI books for beginners. List of 17 Best AI Books for Beginners Artificial Intelligence – A Modern Approach (3rd Edition)
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