Machine Learning: 4 Books in 1: Basic Concepts + Artificial Intelligence + Python Programming + Python Machine Learning. A Comprehensive Guide to

The reception of the book "Machine Learning: 4 Books in 1" is mixed. Some readers found the first two books to be lacking in useful content, with one reader even expressing a strong dislike for the second book. The third book on Python programming was deemed helpful for beginners, despite a few typos. However, the fourth book on Keras, scikit-learn, and Tensorflow was Considered to be less informative compared to other resources available, such as module documentation or more comprehensive guides. The Consensus is that the book primarily serves as a list of terms and definitions, suitable for guiding absolute beginners to further research. Some readers found the Python programming part to be the most relevant, though it was noted that it catered more to beginners and lacked coverage of the language's nuances. On a positive note, some readers appreciated the comprehensive overview of different methods, technologies, and tools for delving into the field of machine learning. The inclusion of a GitHub repository with applied examples for further exploration was also praised. Overall, the book was described as a valuable resource for beginners seeking to understand programming languages and the fundamentals of machine learning. **