University of Washington free online courses

 

Summary List Placement

The University of Washington, ranked the 8th best school in the world according to US News, offers free courses online. 

Like other top schools in the world — including Harvard, Princeton, Yale, the University of Pennsylvania, Columbia, and Cornell — UWash has made a handful of massive open online courses (MOOCs) available on e-learning platforms edX and Coursera. You can learn more about edX here and Coursera here.

Free Harvard classes
Free Princeton classes
Free Yale classes
Free University of Pennsylvania classes
Free Columbia classes
Free Cornell classes

Whether you’re interested in mastering machine learning or learning English for business, you can enroll in a course for free (or for a small fee if you want to earn a certificate of completion).

11 University of Washington courses you can take online for free
Machine Learning: Regression

Machine Learning: Regression (button)

Length:  6 weeks

Explore regularized linear regression models in prediction and feature selection — including predicting housing prices and implementing Python programming techniques.

This course is included in the Machine Learning Specialization, which is free with a seven-day trial, then $49 a month to keep learning. 

To audit this course for free, click “Enroll for Free” and then “Audit this course.”

Machine Learning: Classification

Machine Learning: Classification (button)

Length: 7 weeks

Create classifiers that perform well on various tasks and become familiar with the most successful techniques — including logistic regression, decision trees, and boosting. You’ll also be able to design and implement the underlying algorithms to learn these models at scale. 

This course is included in the Machine Learning Specialization, which is free with a seven-day trial, then $49 a month to keep learning. 

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To audit this course for free, click “Enroll for Free” and then “Audit this course.”

Machine Learning: Clustering & Retrieval

Machine Learning: Clustering & Retrieval (button)

Length:  6 weeks

This course focuses on clustering and retrieval, answering questions such as how to group similar documents; notions of similarity; and how to discover new, emerging topics that a set of documents covers. You’ll be able to create a document retrieval system using k-nearest neighbors, cluster documents by topic using k-means, implement the techniques you learn in Python, and more.

This course is included in the Machine Learning Specialization, which is free with a seven-day trial, then $49 a month to keep learning. 

To audit this course for free, click “Enroll for Free” and then “Audit this course.”

Introduction to Cybersecurity

Introduction to Cybersecurity (button)

Length: 6 weeks

This introduction to cybersecurity includes an overview of the cybersecurity landscape using key terms and concepts. It provides national (US) and international perspectives on the field, the legal environment, and predominant threats. 

This …read more

Source:: Business Insider

      

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