Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.
Build Intelligent Applications
Master machine learning fundamentals in four hands-on courses.
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.
Created by:
Industry Partners:
4 courses
Follow the suggested order or choose your own.
Projects
Designed to help you practice and apply the skills you learn.
Certificates
Highlight your new skills on your resume or LinkedIn.
Projects Overview
Courses
- Intermediate Specialization.
- Some related experience required.
COURSE 1
Machine Learning Foundations: A Case Study Approach
Current session: Oct 16- Commitment
- 6 weeks of study, 5-8 hours/week
- Subtitles
- English, Korean, Vietnamese, Chinese (Simplified)
About the Course
Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classificYou can choose to take this course only. Learn more.
COURSE 2
Machine Learning: Regression
Current session: Oct 16- Commitment
- 6 weeks of study, 5-8 hours/week
- Subtitles
- English
About the Course
Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is jusYou can choose to take this course only. Learn more.
COURSE 3
Machine Learning: Classification
Current session: Oct 16- Commitment
- 7 weeks of study, 5-8 hours/week
- Subtitles
- English
About the Course
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,.You can choose to take this course only. Learn more.
COURSE 4
Machine Learning: Clustering & Retrieval
Current session: Oct 16- Commitment
- 6 weeks of study, 5-8 hours/week
- Subtitles
- English
About the Course
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? EachYou can choose to take this course only. Learn more.
Creators
Emily Fox
Amazon Professor of Machine Learning
Carlos Guestrin
Amazon Professor of Machine Learning
FAQs
More questions? Visit the Learner Help Center.
