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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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1276 - 1300 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Ramanshu R

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Nov 11, 2020

amazing and intresting impressive teaching i like it so much

By Bommareddy K r

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Jan 8, 2020

very useful for everyone how wants to learn machine learning

By Jonathan K

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Jan 21, 2019

Very nice, will continue with the rest of the specialisation

By Douglas M

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Jan 13, 2017

Great material. Good instructors with a practical approach.

By Liru H (

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Jun 27, 2016

it is an amazing course and a good gate for Machine Learning

By Philip G

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Apr 15, 2016

very well made! even introduces python basics for beginners.

By Kaushal P

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Jun 4, 2020

good, but should focus with pandas and other libraries too.

By Wang R

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Mar 21, 2020

Good explanation and case examples as an intro-level course

By Zhukov A

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Jul 7, 2019

This very cool course for introduction in Machine Learning.

By Yihai W

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Feb 8, 2018

Great introduction ML course. The case approach is awesome.

By Siddharth C

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Jul 29, 2016

Excellent course with great instructors and course content.

By Deleted A

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Jul 14, 2016

Great introduction to different machine learning techniques

By Han H

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Jan 4, 2016

Very comprehensive and hands-on course for machine learning

By Alisson A L

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Feb 26, 2021

Awesome! Very helpfull to learn machine learning concepts!

By Sabeena M

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May 16, 2020

It was a great experience learning from Coursera....Thanks

By amar

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Nov 30, 2019

Nice lectures and weekly assignments, great place to work.

By Vinay K

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Aug 20, 2019

Instead of using graphlab it would be better to use pandas

By Lukasz W

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Jan 1, 2019

Very good as an introduction to the further learning of ML

By Alberto S

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Apr 22, 2018

Great course for a beginning in the Machine Learning World

By Cheikh T K

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Feb 22, 2018

Very likely.

Have learned a lot. Thanks to all of teachers.

By Salvador P

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Sep 16, 2017

Muy buenos conocimientos y es un enfoque laboral requerido

By Daniel E S

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Nov 14, 2016

Very good introductory course. I also enjoyed the bloopers

By Spark G

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Jun 10, 2016

very practical, both of the instructors are truly awesome.

By Cheng C

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Jan 24, 2016

Amazing introduction course for Machine Learning beginner!