With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...

Mastering machine learning is not easy, even if you’re a crack programmer. I’ve seen many people come from a solid background of writing software in different domains (gaming, web, multimedia ...

A Course in Machine Learning. The gist: A highly readable text designed to provide an extremely beginner-friendly approach to the topic.The book is a work in progress — some sections are still ...

Machine Learning: A Practitioner’s Approach. The book is authored by Vinod Chandra and Anand Hareendran S. The book’s target demography is largely the aspiring computer science engineering graduates.

Books give you an overview of theory, but it’s also important to implement and play with some practical machine learning systems. Udacity and Coursera usually have high quality courses with ...

For example, I think that one "introduction to machine learning" book should really be enough, there's no point in reading multiple "introductions to ML," unless you really feel like that the ...

This book explains what it covers very well, but in a field that's moving as fast as big data and machine learning, its sound but rather traditional approach may soon look a little dated.

The new book is available in both digital and hardcopy versions. The field of artificial intelligence and machine learning, particularly the subcategory of deep learning, has experienced massive ...

Mastering machine learning is not easy, even if you’re a crack programmer. First, as the name suggests, machine learning is software that learns by itself as opposed to being instructed on every ...