Machine Learning Specialization
8 days left! Grow your skills with Coursera Plus for $239/year (usually $399). Save now.
Machine Learning Specialization
Build Intelligent Applications.
Master machine learning fundamentals in four hands-on courses.
223,909 already enrolled
Included with
Get in-depth knowledge of a subject
from 16,267 reviews of courses in this program
Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
from 16,267 reviews of courses in this program
Intermediate level
Some related experience required
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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.
Applied Learning Project
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.
Skills you'll gain
- Applied Machine Learning
- Artificial Intelligence
- Bayesian Statistics
- Computer Vision
- Data Mining
- Data Preprocessing
- Decision Tree Learning
- Deep Learning
- Feature Engineering
- Image Analysis
- Logistic Regression
- Machine Learning
- Model Evaluation
- Predictive Modeling
- Regression Analysis
- Statistical Machine Learning
- Statistical Modeling
- Supervised Learning
- Unsupervised Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills
Specialization - 4 course series
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.
Applied Learning Project
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.
What you'll learn
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 classification to deep learning and recommender systems?
Skills you'll gain
Category: Model Evaluation Category: Machine Learning Category: Classification Algorithms Category: Deep Learning Category: Regression Analysis Category: Unsupervised Learning Category: Supervised Learning Category: Text Mining Category: Computer Vision Category: Python Programming Category: Feature Engineering Category: Application Development Category: Image Analysis Category: Predictive Modeling Category: Artificial Intelligence Category: Data Preprocessing Category: Natural Language Processing Category: Applied Machine Learning
What you'll learn
Case Study - Predicting Housing Prices
Skills you'll gain
Category: Regression Analysis Category: Model Evaluation Category: Predictive Modeling Category: Feature Engineering Category: Machine Learning Category: Supervised Learning Category: Statistical Modeling Category: Algorithms Category: Data Preprocessing Category: Python Programming
What you'll learn
Case Studies: Analyzing Sentiment & Loan Default Prediction
Skills you'll gain
Category: Logistic Regression Category: Decision Tree Learning Category: Classification Algorithms Category: Model Evaluation Category: Scalability Category: Algorithms Category: Applied Machine Learning Category: Supervised Learning Category: Data Preprocessing Category: Probability & Statistics Category: Predictive Modeling Category: Natural Language Processing Category: Big Data Category: Machine Learning Algorithms Category: Text Mining Category: Machine Learning
What you'll learn
Case Studies: Finding Similar Documents
Skills you'll gain
Category: Unsupervised Learning Category: Machine Learning Algorithms Category: Scalability Category: Bayesian Statistics Category: Machine Learning Category: Statistical Modeling Category: Text Mining Category: Statistical Machine Learning Category: Distributed Computing Category: Data Structures Category: Data Mining Category: Probability Distribution Category: Applied Machine Learning Category: Algorithms Category: Statistical Inference Category: Unstructured Data
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
University of Washington
6 Courses499,054 learners
Offered by
Industry partners
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
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 (4/1/2025 - 4/1/2026)