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.

But they’re not enough. Machine learning requires both good coding and math skills and a deep understanding of various types of algorithms. If you’re doing Python machine learning, you have to ...

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 ...

The global machine learning market is projected to grow from $7.3B in 2020 to $30.6B in 2024, attaining a CAGR of 43% Newsletters Games Share a News Tip Featured ...

TechRepublic Resource Library. IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. Find Search or Browse our extensive library; Download Free ...

GitHub assembled a list of the most popular languages used for machine learning that it hosts on its site—some of which may surprise you. This ebook offers a concise overview of the top 10 ...

A machine-learning tool can easily spot when chemistry papers are written using the chatbot ChatGPT, according to a study published on 6 November in Cell Reports Physical Science 1. The ...