Machine Learning for Absolute Beginners: A Plain English Introduction (Second Edition) by Andrew Ng is a great book for beginners who want to understand the basics of machine learning. This book provides an easy-to-understand introduction to the concepts and algorithms used in machine learning, making it accessible to anyone with little or no prior knowledge of the subject. The author uses plain English language and real-world examples to explain complex concepts, which makes it easier for beginners to understand. The book also includes practical exercises that help readers apply what they have learned and reinforce their understanding of the material. Overall, Machine Learning for Absolute Beginners: A Plain English Introduction (Second Edition) is a great resource for anyone who wants to get started with machine learning. It provides a solid foundation in the subject and will be helpful for beginners looking to build on that knowledge as they progress. Machine Learning From Scratch Book 1 by Andrew Ng is another excellent book for beginners who want to learn about machine learning from scratch. This book covers all the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and more. The author uses a hands-on approach to teach readers how to build their own machine learning models using Python code. The book also includes practical exercises that help readers apply what they have learned and reinforce their understanding of the material. Overall, Machine Learning From Scratch Book 1 is an excellent resource for anyone who wants to learn about machine learning from scratch. It provides a solid foundation in the subject and will be helpful for beginners looking to build on that knowledge as they progress. Machine Learning by Tom M. Mitchell (1997) Paperback is another great book for beginners who want to understand the basics of machine learning. This book covers all the fundamentals of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and more. The author uses a clear and concise writing style to explain complex concepts, making it easier for beginners to understand. The book also includes practical examples that help readers apply what they have learned and reinforce their understanding of the material. Overall, Machine Learning by Tom M. Mitchell (1997) Paperback is an excellent resource for anyone who wants to get started with machine learning. It provides a solid foundation in the subject and will be helpful for beginners looking to build on that knowledge as they progress. Pattern Recognition and Machine Learning by Christopher Bishop is another great book for those interested in machine learning. This book covers all the basics of pattern recognition, including supervised and unsupervised learning, regression, classification, clustering, and more. The author uses a clear and concise writing style to explain complex concepts, making it easier for beginners to understand. The book also includes practical examples that help readers apply what they have learned and reinforce their understanding of the material. Overall, Pattern Recognition and Machine Learning by Christopher Bishop is an excellent resource for anyone who wants to learn about machine learning. It provides a solid foundation in the subject and will be helpful for beginners looking to build on that knowledge as they progress. Machine Learning: An Artificial Intelligence Approach, Volume II by Ryszard S. Michalski (1986-01-15) is another great book for those interested in machine learning. This book covers all the basics of artificial intelligence and its applications in machine learning, including supervised and unsupervised learning, regression, classification, clustering, and more. The author uses a clear and concise writing style to explain complex concepts, making it easier for beginners to understand. The book also includes practical examples that help readers apply what they have learned and reinforce their understanding of the material. Overall, Machine Learning: An Artificial Intelligence Approach, Volume II by Ryszard S. Michalski (1986-01-15) is an excellent resource for anyone who wants to learn about machine learning. It provides a solid foundation in the subject and will be helpful for beginners looking to build on that knowledge as they progress. Mildreds: The Vegetarian Cookbook by Deborah Madison is not related to machine learning, but it's still an excellent book for anyone who loves cooking. This cookbook includes over 1000 vegetarian recipes that are easy to make and delicious. The author uses clear and concise writing to explain the ingredients and techniques used in each recipe, making it easier for readers to understand and follow along. The book also includes practical tips on meal planning, ingredient substitution, and more. Overall, Mildreds: The Vegetarian Cookbook by Deborah Madison is an excellent resource for anyone who loves cooking and wants to try new vegetarian recipes.