Morphosis, Data Science Course: Lecture 4 Machine Learning

Morphosis, Data Science Course: Lecture 4 Machine Learning.

Machine learning is a method of programming a computer in which, instead of a human programmer explicitly encoding the desired behavior, the computer learns the proper instructions to optimize the desired behavior based on past observations recorded in the data that it sees.

Machine learning allows novice user to essentially program computers using data. This means that, given some data containing examples of how one wants the computer to behave, one can “teach” the computer to behave that way using the data.

In this lecture we will introduce regression and Classification algorithms, and will explain what Supervised and unsupervised training methods are. You can read this https://medium.com/sifium/machine-learning-types-of-classification-9497bd4f2e14 to have an introduction to Machine Learning Classification Algorithms.

You can find 3 Jupyter Notebooks for Lecture4 as well as the music.csv file we will be using during the class.

Github repo https://github.com/Santigs/DS-Course


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