Machine Learning (in Python and R) for Dummies

I have read theoretical books on AI/ML; they do explain concepts but do not make you get started hands-on. This book does that. It has a few foundational chapters to cover the basics and then applies them either in R or Python. Note that you cannot be too naive in maths or understanding program flows if you intend to work in the area of AI/ML. Hence, it is good to have supplementary books on maths (basic statistics, matrix and probability) and general programming to quickly refer back. When I bought the book, thought that it is good to know two languages as well; but while reading it, felt a bit uncomfortable while switching from one example in one language to the other in another language; however, examples themselves are self-sufficient and comprehensible.

This book is perfect for newbies and for people with some knowledge about ML.It covers from basic to advanced topics. Plus the explanation is decent.

The book uses really good examples without using any statistical jargons which makes it an excellent choice. If you have studied CSE/IT in engineering or perhaps an MCA; this book is a good way to start Machine Learning.

Practical and easily understandable

Good for beginners and those who want to refresh their knowledge.

It contains just 410 pages but worth product.

Very helpful and nice book to learn a lot about AI and ML

Good book to get cleared about fundamentals.