https://www.youtube.com/watch?v=6niqTuYFZLQ
It's pretty long but it's fairly thorough

Recurrent Neural Networks Stanford lecture

https://www.youtube.com/watch?v=uPUEq8d73JI
David silver and Lex Fridman talk about some very topical deep learning/machine learning podcasts.

AlphaGo, AlphaZero and Deep Reinforcement Learning podcast

https://www.youtube.com/watch?v=MrIFte_rOh0
as the title says, a short 15 minute video

What is deep reinforcement learning? Lex Fridman explanation

https://www.youtube.com/watch?v=BrK7X_XlGB8&feature=youtu.be

University of Michigan - Ann Arbor

These are videos/video series to accompany concepts from data science and machine learning.

Helpful data science videos

A visual guide to Bayesian thinking

Decision trees are a simple way to convert a table of data that you have sitting around your desk into a means to predict and classify new data as it comes.


https://www.youtube.com/watch?v=7VeUPuFGJHk

About Decision Tree

This video explains how SVM (Support Vector Machine) algorithm works to classify a linearly separable binary data set. 


https://www.youtube.com/watch?v=1NxnPkZM9bc

How SVM (Support Vector Machine) algorithm works

"In this video, I move beyond the Simple Perceptron and discuss what happens when you build multiple layers of interconnected perceptrons ("fully-connected network") for machine learning."


https://www.youtube.com/watch?v=u5GAVdLQyIg

Neural Networks: Multilayer Perceptron

Logistic regression is a traditional statistics technique that is also very popular as a machine learning tool. 

https://www.youtube.com/watch?v=yIYKR4sgzI8

About Logistic Regression

Bias and Variance are two fundamental concepts for Machine Learning, and their intuition is just a little different from what you might have learned in your statistics class. Here the video go through two examples that make these concepts super easy to understand.


https://www.youtube.com/watch?app=desktop&v=EuBBz3bI-aA

Bias and Variance

Augmented Startups. (2017, 26 August). Naive Bayes Classifier [Video]. Youtube. [www.youtube.com/watch?v=CPqOCI0ahss](https://www.youtube.com/watch?v=CPqOCI0ahss) 

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