University of Washington
Machine Learning Specialization
University of Washington

Machine Learning Specialization

Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.

Emily Fox
Carlos Guestrin

Instructors: Emily Fox

Included with Coursera Plus

Get in-depth knowledge of a subject

(12,646 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(12,646 reviews)

Intermediate level
Some related experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
60 practice exercises

Specialization - 4 course series

What you'll learn

Skills you'll gain

Machine Learning, Deep Learning, Regression Analysis, Supervised Learning, Text Mining, Applied Machine Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Classification And Regression Tree (CART), Image Analysis, Python Programming, Data Mining, Feature Engineering, and Predictive Modeling

What you'll learn

Skills you'll gain

Regression Analysis, Predictive Modeling, Feature Engineering, Statistical Modeling, Algorithms, Performance Testing, Applied Machine Learning, Data Manipulation, Python Programming, Statistical Methods, Predictive Analytics, Supervised Learning, and Machine Learning

What you'll learn

Skills you'll gain

Machine Learning, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Applied Machine Learning, Predictive Modeling, Scalability, Data Cleansing, Text Mining, Risking, Natural Language Processing, Algorithms, Probability & Statistics, Classification And Regression Tree (CART), and Big Data

What you'll learn

Skills you'll gain

Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Scalability, Bayesian Statistics, Applied Machine Learning, Sampling (Statistics), Statistical Modeling, Probability Distribution, Big Data, Algorithms, Statistical Inference, Unstructured Data, Text Mining, Statistical Machine Learning, and Data Mining

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Emily Fox
University of Washington
6 Courses493,433 learners
Carlos Guestrin
University of Washington
8 Courses494,220 learners

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)