Wednesday, April 3, 2019

Machine Learning Notes 01

Machine learning divides into two categories mainly,

1. Supervised Learning
2. Unsupervised Learning

Supervised Learning

Main scenarios of doing the Supervised learning,
1. Classification
2. Prediction
3. Sequence Prediction

Main methods of doing the Supervised Learning

1. Nearest Neighbors
2. Logistic Regression
3. Support Vector Machine
4. Random Forest
5. Naive Bayes
6. Neural Networks

Choosing the method to do the learning, change the mindset not to ask "How" and "Why",

but to ask "Does it work?"


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