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

217,301 already enrolled

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Get in-depth knowledge of a subject
4.7

(12,635 reviews)

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
4.7

(12,635 reviews)

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Specialization - 4 course series

What you'll learn

Skills you'll gain

Category: Machine Learning
Category: Deep Learning
Category: Regression Analysis
Category: Supervised Learning
Category: Applied Machine Learning
Category: Computer Vision
Category: Text Mining
Category: Python Programming
Category: Natural Language Processing
Category: Feature Engineering
Category: Information Architecture
Category: Application Development
Category: Image Analysis
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Mining
Category: Classification And Regression Tree (CART)
Category: Predictive Modeling
Machine Learning: Regression

Machine Learning: Regression

Course 222 hours

What you'll learn

Skills you'll gain

Category: Regression Analysis
Category: Predictive Modeling
Category: Feature Engineering
Category: Machine Learning
Category: Algorithms
Category: Python Programming
Category: Predictive Analytics
Category: Statistical Methods
Category: Statistical Modeling
Category: Applied Machine Learning
Category: Data Manipulation
Category: Supervised Learning

What you'll learn

Skills you'll gain

Category: Machine Learning Algorithms
Category: Machine Learning
Category: Supervised Learning
Category: Applied Machine Learning
Category: Predictive Modeling
Category: Scalability
Category: Data Cleansing
Category: Probability & Statistics
Category: Text Mining
Category: Natural Language Processing
Category: Algorithms
Category: Classification And Regression Tree (CART)
Category: Big Data

What you'll learn

Skills you'll gain

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

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Instructors

Emily Fox
University of Washington
6 Courses490,225 learners

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Frequently asked questions

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 (7/1/2024 - 7/1/2025)