About this Specialization

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
Learner Career Outcomes
41%
Started a new career after completing this specialization.
21%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approximately 7 months to complete
Suggested pace of 3 hours/week
English
Learner Career Outcomes
41%
Started a new career after completing this specialization.
21%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approximately 7 months to complete
Suggested pace of 3 hours/week
English

There are 4 Courses in this Specialization

Course1

Course 1

Machine Learning Foundations: A Case Study Approach

4.6
stars
12,182 ratings
2,916 reviews
Course2

Course 2

Machine Learning: Regression

4.8
stars
5,286 ratings
986 reviews
Course3

Course 3

Machine Learning: Classification

4.7
stars
3,523 ratings
586 reviews
Course4

Course 4

Machine Learning: Clustering & Retrieval

4.6
stars
2,193 ratings
376 reviews

Offered by

Placeholder

University of Washington

Placeholder

Frequently Asked Questions

More questions? Visit the Learner Help Center.