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Also to be able to read books and papers and to understand the theory behind machine learning you will need to have some knowledge of math. In particular, the following topics would be very useful ...

By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively. Download before the offer ends.

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.

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 ...

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.

Wattpad announced it was making its debut into the physical book world using its own its Story DNA Machine Learning technology. Newsletters Games Share a News Tip.

Molnar has written the book "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable", in which he elaborates on the issue and examines methods for achieving explainability.

In an era when data drives decisions, mastering machine learning has become essential across industries and academia. From making better business decisions to developing advanced materials, machine ...