Many are free. They are available online. They are offered by Princeton, Georgia Tech, Harvard, Columbia, Stanford, and Penn State. Neural Networks and Deel Learning &...
This is the new book by Andrew Ng, still in progress. Andrew Yan-Tak Ng is a computer scientist and entrepreneur. He is one of the most influential minds in Artificial In...
The Explainable Machine Learning Challenge is a collaboration between Google, FICO and academics at Berkeley, Oxford, Imperial, UC Irvine and MIT, to generate new researc...
The Practical Guide to Storing, Managing and Analyzing Big and Small Data — Cambridge University Press. This comprehensive textbook teaches the fundamentals of data...
After all, the term Machine Learning was coined based on the way the human (or animal) brain learns, meaning that somehow, machines could also benefit from a similar kind...
Imagine there are two girls standing in front of you – The first girl is cute, beautiful, interesting and has the smile that any guy would die for. And the other girl i...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Introduction This is an analysis of the Kaggle 2018 survey dataset. In my analysis I am trying to understand the similarities and differences between men and women users ...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
All you need to know about machine learning, accessible using our data science search engine, covering hundreds of articles and tutorials: Deep Learning Machine Learnin...