Fast Track Machine Learning Part 1 – Types of Machine Learning Problems

In this series Dr. Dakshinamurthy Kolluru gives a thousand feet view of Machine Learning.

In Part 1 of the series he explains that the different problems in Machine Learning are Classification, Regression and Optimization.

With the help of intuitive examples he defines the three problems as

  1. Classification – splitting the space
  2. Regression – fitting a curve and also Regression can be set up as a classification problem
  3. Optimization – on a curve, find the maximum and minimum points

Other posts of the series

  1. Fast Track Machine Learning Part 1 - Types of Machine Learning Problems
  2. Fast Track Machine Learning Part 2 - All Machine Learning is Pattern Search
  3. Fast Track Machine Learning Part 3 - The forms of knowledge
  4. Fast Track Machine Learning Part 4 - Solution Architecture
  5. Fast Track Machine Learning Part 5 – What Makes a Problem Tough
  6. Fast Track Machine Learning Part 6 - What Makes a Problem Tough Contd...
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