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

4.6
stars
13,519 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 these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: -Identify potential applications of machine learning in practice. -Describe the core differences in analyses enabled by regression, classification, and clustering. -Select the appropriate machine learning task for a potential application. -Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. -Represent your data as features to serve as input to machine learning models. -Assess the model quality in terms of relevant error metrics for each task. -Utilize a dataset to fit a model to analyze new data. -Build an end-to-end application that uses machine learning at its core. -Implement these techniques in Python....

Top reviews

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.

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

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1551 - 1575 of 3,153 Reviews for Machine Learning Foundations: A Case Study Approach

By Mohammad S K

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May 12, 2018

It was not easy for Novice like me. :)

By Deleted A

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Aug 3, 2017

Great course and Awesome instructors!!

By Kamlesh K

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Jul 14, 2017

Very Easily Explained The ML Concepts.

By Chen Q

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Jun 18, 2017

Good instructions and course projects.

By Garvish

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Jun 14, 2017

Great Information and organised course

By Kris R

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Mar 21, 2017

Informative, good survey of the field.

By adil f

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Feb 21, 2017

A very interactive and learning course

By omar F

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Dec 4, 2016

Very good course for quick learning !!

By 孙朔

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Aug 17, 2016

A very nice class really helps a lot ！

By Lisaiceland D

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Nov 15, 2015

fantastic course! really mean that ;-)

By Asad M

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Dec 30, 2021

Very Informative and Helpful Content.

By Lijie Y

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Dec 25, 2021

Quite practical, I am amazed by that!

By 1085_PRITISH P

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Nov 5, 2021

very nice course , really informative

By arun k g

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Jul 17, 2021

I enjoyed the machine learning a lot.

By GOKULAVASAN.B

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Apr 6, 2021

Very Excellent and Informative Course

By vinay k s

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Oct 26, 2020

This is very good for Machin Learning

By aritrik g

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Jul 22, 2020

cool course, for educational purpose.

By ARAVIND R

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Jul 20, 2020

It was an amazing journey !

Thank you

By Aswin M

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Jun 30, 2019

Very good basics for Machine Learning

By Jens K

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May 13, 2018

Very good intro into the foundations.

By anqi c

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Aug 28, 2017

Great course for entry level students

By Srinath.V

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Jun 8, 2017

Awesome Course!!! Carlos was great!!!

By Rohit y

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Jan 29, 2017

Awesome course and awesome professors

By Hank W

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Jan 27, 2017

This course is absolutely incredible.

By Drew F

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Jan 2, 2017

Challenging to just the right degree!