Introduction to Machine Learning

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Course Details

  • Location: Downtown Seattle, Bellevue, Online
  • Duration: Varies
  • Times: Flexible
  • Cost : $1,345

Next Start Date:

September 17, 2018

Get Program Details

About this Course


This course covers the fundamental 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

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.

Learning Formats

Online, Self-Paced

Enjoy the flexibility of learning at your own pace, with instructor support along the way. This course is 100 percent online, with no class meetings or fixed deadlines — so you can start anytime. Learn More »

Online, Group-Paced

Start and finish your course with the same group of students, with frequent opportunities to interact with your instructors and classmates along the way. This course is 100 percent online, with set due dates for assignments but no class meetings. Learn More »

Classroom

Attend classes part time at one of our convenient locations in the Puget Sound region. You’ll engage face to face with your classmates and instructors as part of a highly interactive curriculum. Learn More »

Classroom, Accelerated

Step up the pace and complete your course more quickly with our accelerated format. With this option, you’ll move through the course’s full curriculum in a condensed time frame. Learn More »

Course Sessions

Online, Self-Paced

This course opens September 17, 2018, and is offered 100 percent online, with no class meetings. The course uses a self-paced format, and you have up to four months to complete it.

Online

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Online, Group-Paced

This course is offered 100 percent online and runs from January 7, 2019, to March 17, 2019.

Online

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Note

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

Classroom

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Note

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

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Note

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

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Note

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

Classroom, Accelerated

NONCREDIT COURSE

You'll earn 3 continuing education units (CEUs) for successfully completing this course. Learn more about noncredit courses.

Note

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