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|Institution||University of Washington|
|Instructors||Carlos Guestrin, Emily Fox|
|Length||6 weeks of study, 5-8 hours/week|
|Price||Free (with limitations) or $79 for a Verified Certificate|
|Subjects||Data Science Machine Learning|
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|More Info||Machine Learning Foundations @ Coursera|
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What learners are saying BETA
5 stars if
Would be 5 stars if all tools are open source.Great Course…
Would have rated 5 stars if an open source library like scikit-learn were used…
...to complete this course but so far I have completed, the course is excellent…
open source tools
...if you are really interested you could do them with open source tools.It is amazing…
...a trial version of a pretty expensive library.I love the case…
am looking forward
...not as detailed and thorough as I expected.
case study approach
I give Machine Learning Foundations: A Case Study Approach 4.5 out of 5 stars…
Looking forward to the next courses in the specialization!Amazing for beginners…
Loved the case study approach !Well structured and engaging…
Fortement conseillé aux novices.The case study approach for explaining machine learning concepts is commendable…
real world examples
...helps in making decisions when it comes to real-life applications…
Looking forward to see other courses.A very nice introduction to fundamentals of Machine Learning…
this course should add more document and instructions on how to use Graphlab.Easy and simple…
This course teaches valuable skills*
This is the average pay in the US for people with these skills.
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