AI News, 24 Free Data Science Books

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.

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 ...