# AI News, 24 Free Data Science Books

- On Thursday, June 7, 2018
- By Read More

## 24 Free Data Science Books

These three books by highly respected academics / practitioners, and cover some of the most popular techniques in data mining and machine learning today.

The previous section, Statistical Machine Learning, covers machine learning from the perspective of statisticians: creating statistical valid models of the data that can be used for predictions.

This section, practical machine learning / data mining, deals more with the need to extract information and make predictions from large datasets.

- On Saturday, February 22, 2020

**1. What is Statistical Learning?**

1. I compare Statistical Learning to Machine Learning. 2. Statistical vs. Not-Statistical Learning. 3. Supervised vs. Unsupervised Learning. 4. What is Learning?

**Predicting Stock Prices - Learn Python for Data Science #4**

Only a few days left to signup for my Decentralized Applications course! In this video, we build an Apple Stock Prediction script in 40 ..

**Data Science from Scratch by Joel Grus: Review | Learn python, data science and machine learning**

This is a review of Data Science from Scratch by Joel Grus. This book will teach you the methods used for data science and machine learning. First it will show ...

**Machine Learning Simplified - Beginners Guide! Deep's Data Science Minute Ep. 3**

In this episode I'm going to be explaining how Machine Learning works in less than a minute! Also, I'll be sharing: - Essential Machine Learning Books ...

**Statistical and causal approaches to machine learning**

Where would you take machine learning? 2014's Milner Award winner Professor Bernhard Schölkopf, Max Planck Institute for Intelligent Systems, talks through ...

**11. Introduction to Machine Learning**

MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: Instructor: Eric Grimson ..

**kNN Machine Learning Algorithm - Excel**

kNN, k Nearest Neighbors Machine Learning Algorithm tutorial. Follow this link for an entire Intro course on Machine Learning using R, did I mention it's FREE: ...

**Lecture 01 - The Learning Problem**

The Learning Problem - Introduction; supervised, unsupervised, and reinforcement learning. Components of the learning problem. Lecture 1 of 18 of Caltech's ...

**Machine Learning & Artificial Intelligence: Crash Course Computer Science #34**

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving ...

**Data Science Training Demo Video**

Data Science Training from SQL School. A STEP BY STEP PROCESS / MECHANISM TO EXTRACT (READ) DATA, TO VISUALIZE DATA. TO UNDERSTAND ...