A Friendly Introduction to Machine Learning

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A pleasant introduction to the most important algorithms of Machine Learning with examples.
No past awareness essential.

What is Machine Learning: (:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Selection Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Assistance Vector Devices: (18:50)
Kernel trick: (20:05)
K-Indicates clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Many thanks to Nick Kartha for breaking down the subjects!)

If you like this, you will find an prolonged version in this playlist:
https://www.youtube.com/playlist?listing=PLAwxTw4SYaPknYBrOQx6UCyq67kprqXe3

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