Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

I like the way this book connects the theory part and the coding part. It not only helped me understand the concept in depth but also helped me get my hands dirty writing and executing the code. The book is well written and easy for anyone to read and understand. Would recommend buying this book if you want to have a good knowledge of recommendation systems.

Book is easy to understand and is methodically constructed. Prior experience in data science is needed, and for those experienced practitioners, this book is a good overview of the topic with code examples and real life data wrangling situations.

Extremely helpful walkthrough text. Includes videos, codes, download links for data. Offers just the right level of detail.

horrible book, no sense of organization.. chapters are all over the place

I think this book is ok for absolute novices in Recommender Systems (RS) and coding. Hobbyists that would like to dabble a bit with an 'interesting topic'. The depth of the book is akin to many online blogs about RS, all of which are free and some of which contain much more depth and actual content. I am especially displeased with the missing 'appendix' and the super shallow parts on matrix factorization and SVD (black boxes in this book). The latest advances in RS are not covered at all (deep learning-based systems).

My brother wrote this book. Found it very useful and easy to follow.

I like this book for its crisp explanation with real world colored example.And also you can find the code in GitHub to play with.Enjoy reading👌

Good

Book contains very simple language which helps to understand easily with proper code explanation. This is a very good book to start building recommendation systems.