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

4.6
stars
13,527 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

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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1251 - 1275 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Swathy M

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Aug 1, 2019

Started new job in Machine Learning after completing the course

By Jaden

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Jun 1, 2019

Case Studies are great. Please more application based learning.

By Leandro L R

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Mar 31, 2018

Very interesting course. Carlos and Emily are great professors.

By Irfan S B

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Sep 14, 2017

Good couse for beginners. But lot of unnecessary conversations.

By Rama K R N R G

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Aug 14, 2017

Excellent overview of ML. Good foundation for those pursuing ML

By RAMESH R

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May 25, 2017

Great course for beginners who wants to start on ML foundation.

By Prasanna N

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Aug 16, 2016

Very easy to understand and will be a very good first course...

By GAURAV B

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May 27, 2016

Simplistic approach taken to make understand a complex subject.

By Omar S

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Feb 28, 2016

Excellent course! I loved it! Good overview on machine learning

By Eric N

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Oct 11, 2020

Excellent online teaching with clear and concise explanations!

By Kishor K

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May 30, 2020

Amazing platform for learning and the instructors are experts.

By Caio M

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May 14, 2020

Muito bom! Base sólida em algoritmos de aprendizado de máquina

By Joel R L

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Apr 18, 2020

Excelente, muy bien explicado. Un gran desafió en la semana 06

By Sachin V M

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Sep 30, 2019

Awesome experience with various methods of ML, it was all fun.

By Aries F

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Mar 6, 2019

Very easy to understand, code are very simple and to the point

By Chao L

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Mar 4, 2019

It is good class for people want to ML and start from scratch

By J K

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Dec 12, 2018

Very comprehensive and hand-on fashioned course, recommended!

By Cristian D E O

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Dec 5, 2017

Me ha parecido muy bueno para aprender sobre machine learning

By Avay D

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Oct 6, 2017

Really nice course for machine learning and python beginners.

By Mario U

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Jun 4, 2017

Board good topics of Machine Learning and it's very practical

By Jorge O

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Apr 14, 2017

Easy to follow up. Very didactic!

Congratulations and thanks!

By Deleted A

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Mar 18, 2017

It is easily the best course on machine learning I ever took.

By Durgaprasad N

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Aug 9, 2016

A very nice introduction to fundamentals of Machine Learning.

By Timo F

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Jun 15, 2016

Awesome course! Nice examples, good slides and videos. Thanks

By SHAROD R C

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Mar 18, 2016

A really awesome course taught in a new and scientific way !!