Machine learning and Deep learning using Python and Tensor flow

The book is nice, really nice!The content is very good, it is a reference book that contains core concepts with coding and implementation, not a textbook where you get all the mathematical derivations alongside mathematical symbol jargon.To the point writing & anyone can finish the book in one go & will get enough knowledge to pursue a career in the AI-ML field.The 2 cons I would state about the book -> 1) the font size is really small which makes the reading sometimes extremely hard&2) the book is a greyscaled one, I would prefer a colored version for the diagrams only(The good thing is even if the book is B/W, the diagrams are well defined & distinguishable so not a big deal), It is just my feedback to the printing press & as well as to the authorif you are planning to buy this book & are reading my review, trust me go for this book. You won't be disappointed, but alongside this book, get the book by Aurelien Geron (Hands-on Machine Learning with Scikit-Learn, Keras & Tensorflow) as well for further studies after you are done with this book.I recommend this book.

na

The book is easy to follow. One can finish the book in a single read. The concepts are explained in simple terms.

It’s a very detailed book for beginners who are not sure where to start their data science journey. Few important topics are not covered but that can be looked upon after covering the topics mentioned in the book. Overall a decent book.