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F# for Machine Learning Essentials by Sudipta Mukherjee

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Some interesting things you can do

You can use machine learning to differentiate between dogs and cats from photographs. Then surprisingly enough, you may tweak the same algorithm to detect the cancerous cells from the normal cells in breast cancer patients. You may use decision trees to predict whether there will be a traffic jam on a given date and time. There can be several other parameters that can be helpful while predicting a traffic jam. The intention is that after reading this chapter you will be able to use these classification techniques to address some of the problems you are facing yourself.

Binary classification using k-NN

In this example, you will solve the kaggle cat and dog identification challenge (https://www.kaggle.com/c/dogs-vs-cats ...

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