Data scientists are inquisitive and often seek out new tools that help them find answers. They also need to be proficient in using the tools of the trade, even though there are dozens upon dozens of…

This article covers 15 different types of regression for different data problems. It explains regression in detail and shows how to use it with R code

Vincent Chen is a student at Stanford University studying Computer Science. He
is also a Research Assistant at the Stanford AI Lab.


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It’s not entirely clear what level of mathematics…

The code used to generate the plots for this post can be found here.

Discover Mathigon, the Mathematical Playground. Learning mathematics has never been so interactive and fun!

The definitive guide to Random Forests and Decision Trees.

Pluralsight helps organizations, teams, and individuals build better products with online courses and data-driven insights that fuel skill development and improve processes.

Interactive learning is the fastest way to learn a new technology. Because you're not just reading about it. You're also manipulating it in real time to discover how it works.

These notebooks form the basis of fast.ai founder Jeremy Howard’s new book and are used for a $2,000 worth Deep Learning course.

Data science is not necessarily one single thing, skillset or methodology. This is why data science is always said to be an ‘interdisciplinary branch’ of science that combines mathematics, human behavioral and workflow studies, flexible use of logic systems…

Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

Since I'm not that good at (as I like to call it) 'die-hard-mathematics', I've always liked concepts like the golden ratio or the dragon curve, which are easy to understand and explain but are

180 Data Science and Machine Learning Projects Solved and Explained with Python.