AI News, List of Must – Read Free Data Science Books

List of Must – Read Free Data Science Books

Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc.

Author: Reza Nasiri Mahalati This compilation by Professor Sanjay emphasizes on applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems.

Author: Stephen Boyd and Lieven Vandenberghe This book provides a comprehensive introduction to the subject and shows in detail how such problems can be solved numerically with great efficiency.

Author: Sean Luke This is an open set of lecture notes on metaheuristics algorithms, intended for undergraduate students, practitioners, programmers, and other non-experts.

Author: Hal Daumé III CIML is a set of introductory materials that covers most major aspects of modern machine learning (supervised learning, unsupervised learning, large margin methods, probabilistic modeling, learning theory, etc.).

1. Introduction to Statistics

NOTE: This video was recorded in Fall 2017. The rest of the lectures were recorded in Fall 2016, but video of Lecture 1 was not available. MIT 18.650 Statistics ...

R Tutorial 13: Variable Selection and Best Subsets Selection (regsubsets)

This video is going to show how to perform variable selection and best subsets selection using regsubsets() in R. Measures include R-squared, Adjusted ...

The Bayesian Trap

Bayes' theorem explained with examples and implications for life. Check out Audible: Support Veritasium on Patreon: ..

How to Build a Text Mining, Machine Learning Document Classification System in R!

We show how to build a machine learning document classification system from scratch in less than 30 minutes using R. We use a text mining approach to ...

Factor Analysis - an introduction

This video provides an introduction to factor analysis, and explains why this technique is often used in the social sciences. Check out ...

Maximum Likelihood estimation - an introduction part 1

This video introduces the concept of Maximum Likelihood estimation, by means of an example using the Bernoulli distribution. Check out ...

Statistical Text Analysis for Social Science

What can text analysis tell us about society? Corpora of news, books, and social media encode human beliefs and culture. But it is impossible for a researcher to ...

Big Data: Statistical Inference and Machine Learning - free online course at

Sign up now at 'Big Data: Statistical Inference and Machine Learning' is a free online course by QUT on Many people have ..

Jake Vanderplas - Statistics for Hackers - PyCon 2016.mp4

Speaker: Jake Vanderplas Statistics has the reputation of being difficult to understand, but using some simple Python skills it can be made much more intuitive.