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Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

4.6
stars
13,493 ratings

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 classification to deep learning
and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At
the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user
reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with thes...
...

Top reviews

BL

Oct 16, 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much

SZ

Dec 19, 2016

Great course! Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

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2626 - 2650 of 3,144 Reviews for Machine Learning Foundations: A Case Study Approach

By Jonathan E

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Aug 15, 2017

I liked the interactive python programming however the course could be more rigorous for my tastes.

By Sergey G

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Mar 23, 2019

It'd be great to get rid of showing how teacher type code or write something, it's kind of boring.

By DeepLyrics

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Dec 11, 2016

Great introductory course for beginners to machine learning and I loved the programming tutorials.

By Alfonso M

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Mar 26, 2016

Instructors are clear and passional about their teaching. I wish the course was slightly deeper.

By E. M S

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May 17, 2017

Good overview and programming warm-up. Just need to change the links to turi.com from dato.com

By Laura M

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Feb 15, 2023

I would prefer the use of other tools better than turicreate , but the concepts are very clear

By SANJEEV K V

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Mar 17, 2021

Nice Course and developed a nice understanding from the questions present in the assignments.

By Tomas O

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Nov 8, 2019

It has a lot of problems with the programs you should install. But the content it's amazing.

By MICHAEL G

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Nov 14, 2017

This course was a very good introduction to some of the techniques used in Machine Learning.

By Stefan S

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Jan 4, 2016

Good intro to topics in machine learning as well as to Graphlab Create and iPython Notebook.

By Stanislav B

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Apr 18, 2020

There were unnecessary problems with data. Last course (Clustering and retrieval is better)

By weimin l

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Oct 27, 2016

A very interesting course! I learned a lot. Will continue on the next course once it ready.

By Rishabh P

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Jul 26, 2020

It would be great if you start deployement of things in python also not only in turicreate

By Brent R

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Jan 29, 2017

Good intro to ML, but would've enjoyed less of the "Black Box" approach in using Graphlab.

By Aaron W

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Jan 1, 2016

Great introduction to ML concepts! I'm hoping to dig a little deeper in the next courses!

By Patrik L

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Jul 17, 2017

Would be very useful to have the option to see all the coding examples done with sklearn.

By Tung N

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Jun 7, 2016

Very good balance of concept and practice. Would be 5 stars if all tools are open source.

By Kai S E

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Jun 3, 2016

A Brief understanding achieved! I love the instructor and the way they conduct the class.

By Thomas S

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May 29, 2016

Nicely structured and overall a great course. Sometimes a little slow, for my preference.

By Suneet T

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Feb 7, 2016

Very good course for getting a high level understanding of the Machine learning concepts.

By Franck B

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Jun 19, 2020

Very interesting, didactic but a little bit too based on a specific non-standard library

By Shankarganesh G

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Sep 11, 2019

It' s really worth spending time to learn this course. It's very informative and useful.

By Piyush M

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Mar 21, 2017

Very good introductory course with an excellent mix of theoretical and hands-on content.

By Krishna P S

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Dec 13, 2018

course is really good with real life examples. Able to correlate well with the concepts

By Jay D S

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Sep 18, 2020

this course should include some more coding about python in manchine learning and knn