A Friendly Introduction to Machine Learning

A Friendly Introduction to Machine Learning



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A friendly introduction to the main algorithms of Machine Learning with examples.
No previous knowledge required.

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What is Machine Learning: (0:05)
Linear Regression: (2:25)
Gradient Descent: (4:10)
Naive Bayes: (6:20)
Decision Trees: (10:35)
Logistic Regression: (13:20)
Neural networks: (17:00)
Support Vector Machines: (18:50)
Kernel trick: (20:05)
K-Means clustering: (26:00)
Hierarchical Clustering: (28:30)
Summary: (29:40)

(Thanks to Nick Kartha for breaking down the topics!)

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