Fast Track Machine Learning Part 1 (Machine Learning Overview) - Types of Machine Learning Problems

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In part 1 of Fast track Machine learning (Machine Learning Overview) series Dr. Dakshinamurthy Kolluru gives a thousand feet view of Machine Learning. One can divide the problems in Machine Learning as Classification, Regression and Optimization. Where in Classification can be defined as splitting the space. Regression is fitting a curve and regression can also be set up as a classification problem. Optimization is on a curve, find the maximum and minimum points.

Transcript of Fast Track Machine Learning Part 1 (Machine Learning Overview) - Types of Machine Learning Problems

Inspire…Educate…Transform.

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Dr. K. V Dakshinamurthy

Part 1 (Machine Learning

Overview) - Types of

Machine Learning Problems

President, INSOFE

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Classification; Supervised and Unsupervised

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Classification is a pattern search

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Classification is a pattern search

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Forecast

Yield (profit/acre) of a seed as a function of altitude

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Prediction and forecasting

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Can we convert it into a search problem?

• Bin the variable we are predicting into

low, medium, high

– As number of bins increase, accuracy

increases but understanding reduces

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Optimization

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Optimization as pattern search

• Some combinations give optimum

outputs and some don’t

• So, optimization is also a Boolean

search

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YouTube link

• For a detailed video on this topic visit

the following link:

http://www.youtube.com/watch?v=4Dp

6p9ZuoO8

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This presentation may contain references to findings of various reports available in the public domain. INSOFE makes no representation as to their accuracy or that the organization

subscribes to those findings.