Grokking Machine Learning

Book is written in a clear way. Easy to read. Highly recommended for anyone intersted in machine learning, Especially novice.

I am seasoned Java developer, though without any machine learning experience. A month ago I joined very promising project which core will be ML written in Python. Rest in Java. I won't implement ML part but I was looking for a book which will help me to understand ML basics. I knew Grokking Algorithms from Manning, cool book but a bit shallow. So I decided to give a try to another book from Grokking series. And this is it. Book is written in very clear and understandable way. Author teaches from scratch, from comparison of different sorts of ML and differences between them then he starts to explain how it works. I enjoy how Luis G. Serrano introduces a concept starting from linear regression. The book contains some basic math which is again explained in very nice way then he is introducing the subject. Code in examples is written in Python but again in very simple and not idiomatic way. Which makes this code as readable as pseudo code. Then he explains how to assess model accuracy and so on.All in all it makes a very good reading for a person like me, who wants to get decent introduction to the subject. :) highly recommended.

In this book, the author explains the ML algorithms in a fun way with useful examples and great code. Highly recommended for anyone wanting to enter the field of machine learning!

Just another paperback that looks like it rolled off a laser printer running in eco mode with the "replace toner" light flashing.

Disappointing that the book concentrates on a Python library that will not work on Python 3.9 or later. The turicreate package is only valid with Python up to 3.8. Of 410 pages, turicreate is mentioned up to page 171 and scikit learn only starts at 265. The information looks good based on first two chapters but if you're looking for scikit learn this is not the book.

I was really enjoying this book until in chapter 3 we needed to use turicreate library that is not supported by pythons newer that 3.8. So I left the book, but maybe get back to it later after installing the old version of python.

Serrano provides excellent material on his channel on ML topics. His wizardry in book form has to be compelling surely? Indeed, the author explains things clearly but...there is a but...the book has a number of distracting errors. Typos like 'Over!itting' are trivial, but variable subscripts are all over the place sometimes. The regularization chapter has a few oddities in that area (e.g. '2**2 = 2').I'm about half way through but finding some of the inconsistencies a bit tiresome.Nothing but compliments to Serrano's authoring skills and ability to communicate. I do wonder if there were problems in production as the proof reading leaves something to be desired.The book is pitched at the reasonably serious money end of the spectrum. It's worth if you want a clear explanation of ML concepts. The lack of diligence on the final quality of the book is a bit of a disappointment.