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For the safety of our community, UWPCE programs will be taught remotely for the 2020-21 academic year.

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Data Science: Machine Learning Techniques


Course Details

This course can only be taken as part of the Certificate in Data Science.

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About this Course

Machine learning is behind the biggest innovations in artificial intelligence — so much so that AI and machine learning have become nearly synonymous. In this course, we’ll focus on machine learning techniques for supervised and unsupervised learning problems, including deep learning. You’ll learn how to select and tune machine learning algorithms based on use cases. You'll also understand the pros and cons of different algorithms and how to open up “black box” models. We’ll finish by looking at how models are deployed in production.

What You’ll Learn

  • How to train and evaluate machine learning models for classification and regression
  • The pros and cons of common machine learning algorithms
  • Deep learning and its relationship to traditional machine learning
  • Common techniques for explaining complex machine learning models

Get Hands-On Experience

  • Use the sklearn library to train, tune and evaluate machine learning models
  • Use TensorFlow to train and evaluate deep learning models

Program Overview

Complete the courses listed below to earn the certificate. You may be able to take individual courses without enrolling in the certificate program; check the course pages for details.

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