Intro to Machine Learning

Types of Machine Learning

• Robotics

• Supervised

• Expert Systems

• Unsupervised

• Reinforcement

Supervised ML Problems

• Clustering

• Classification

• Regression

• Dimension Reduction

We must evaluate Our Final ML model on

• All data

• Validation Data

• Training Data

• Testing Data

This problem represents

• Computer Vision

• Natural Language Processing

• Classification

• Regression

In Reinforcement Learning, We have

• Agent

• Environment

• Reward

• Labeled Data

In Regression, Our Output is

• Discrete

• Continuous

This Problem represents

• Regression

• Clustering

• Classification

• Voice Recognition

We must tune Our ML model on

• All data

• Validation Data

• Training Data

• Testing Data

In Clustering, Our Output is

• Discrete

• Continuous

• Not Applicable

This is an example of :

• Classification

• Regression

• Computer Vision

• Natural Language Processing