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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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1226 - 1250 of 3,155 Reviews for Machine Learning Foundations: A Case Study Approach

By Neeraj S

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Jun 8, 2018

I enjoyed the way the course was structured and examples provided

By Liwei L

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May 1, 2018

could be even better with a more comprehensive Python intro added

By Dongliang Z

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Jan 25, 2018

Excellent, really fun. I am going to the next course now. Thanks!

By Andrey N

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Jul 30, 2017

Great course! It can be even better if taught using scikit-learn.

By Amit K

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Aug 16, 2016

Sets a good foundation for getting started with Machine Learning.

By Ahmed M M

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Jun 16, 2016

awesome course , i loved machine learning because of this course.

By Pasquale G

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Feb 18, 2016

It's a great course. The adoption of ipython notebook is amazing

By Suresh A

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Feb 6, 2016

The presentation, the math involved and exercises were excellent.

By M L

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Nov 25, 2015

Absolutely amazing! The lecturers have great humor and knowledge.

By Anil k p

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Oct 9, 2020

Must preferable for everyone having interest in Machine learning

By Dr. A K S

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Sep 24, 2020

Fruitful videos it is very much useful for future research work.

By Pakomius Y N

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Sep 22, 2020

Pembelajaran mesin sangat bermanfaat dengan melalui studi kasus.

By Yesid C C

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Jul 27, 2020

I really liked this course, it offers a nice introduction to ML.

By Borys B

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Jan 8, 2020

Easy to understand and learn ML thanks to this course.

Thumbs up!

By Trilok R R

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Oct 20, 2019

Amazing course with hands on approach. Really enhanced my skills

By Rakesha M

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Apr 6, 2018

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By Maksim H

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Nov 17, 2017

I am really grateful for the effort to put this course together!

By Sophie

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Aug 1, 2017

Really great lessons to improve the concept of machine learning!

By Dragana K

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Jul 11, 2017

Very informative and easy to follow - lovely introduction course

By Deividas K

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Jan 8, 2017

Great introduction to machine learning and its various concepts.

By Roman R

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Nov 9, 2016

It's easy to understand even if you're beginner. Very inspiring!

By christiaan r

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Jul 20, 2020

Great Introduction to ML, really enjoyed the course. Thank you!

By Swapna.G

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Jul 12, 2020

its superb course learnt a lot and used for my research purpose

By Mariano

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Feb 29, 2020

very interesting course, was my first work with ML with python.

By Dilip B M

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Sep 15, 2019

ALL THE TOPICS SUFFICIENTLY EXPLAINED WITH APPROPRIATE EXAMPLES