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.



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


Instructors: Emily Fox
Included with
(12,646 reviews)
(12,646 reviews)
What you'll learn
Skills you'll gain
- Image Analysis
- Predictive Modeling
- Data Mining
- Regression Analysis
- Computer Vision
- Classification And Regression Tree (CART)
- Unsupervised Learning
- Bayesian Statistics
- Artificial Intelligence
- Supervised Learning
- Feature Engineering
- Text Mining
- Applied Machine Learning
- Predictive Analytics
- Machine Learning Algorithms
- Statistical Modeling
- Deep Learning
- Machine Learning
- Statistical Machine Learning
- Big Data
What’s included

Add to your LinkedIn profile
Specialization - 4 course series
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
What you'll learn
Skills you'll gain
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


Offered by
Industry partners

Compare with similar products
Rating | ||||
---|---|---|---|---|
Level | ||||
Skills | ||||
Last updated | ||||
Number of practice exercises | ||||
Degree eligibility | ||||
Part of Coursera Plus |
You might also like
Why people choose Coursera for their career





Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in about 8 months.
Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.
You should have some experience with computer programming; most assignments in this Specialization will use the Python programming language. This Specialization is designed specifically for scientists and software developers who want to expand their skills into data science and machine learning, but is appropriate for anyone with basic math and programming skills and an interest in deriving intelligence from data.
More questions
Financial aid available,
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)