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Introduction to Machine Learning


Course Details

This course can only be taken as part of the Certificate in Machine Learning.

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About this Course

This course covers the essential concepts of statistical analyses and mathematical modeling, introducing terminology and core algorithms from the field of machine learning. You'll gain hands-on experience with linear models for classification and regression, including data preprocessing, dimensionality reduction, model selection, feature selection, model construction and regularization. We’ll construct models using data from a variety of application domains.

What You’ll Learn

  • Foundational concepts from linear algebra, probability, calculus and statistics 
  • Linear, graphical, nearest neighbor and generalized additive models 
  • Model building, evaluation, tuning and performance improvement

Get Hands-On Experience

You’ll practice working with open-source tools such as Anaconda3, Python and scikit-learn.

Program Overview

This course is part of the Certificate in Machine Learning.

Quarter 3

Deep Learning

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