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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...

4 comments

  1. awesome post sir, better than a related video i saw at MIT (USA). please give FB sharing option here so that I can share it with my other friends

  2. BEyondBEISE

    Hi Sheena,

    Thank you. There is an FB icon below ‘Other posts in this series’. You can click on that and share the post in FB.

  3. Saved as a favorite, I love your site!|

  4. It’s hard to come by experiened people in this particular topic, but you seem
    like you know what you’re talking about! Thanks

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