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

4.6
stars
12,649 ratings
3,028 reviews

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!\n\nEmily 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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2926 - 2947 of 2,947 Reviews for Machine Learning Foundations: A Case Study Approach

By Florea G A

Oct 11, 2020

Turicreate installation is a hot stone. for that reason I'm not going to pursue this specialization.

By Anoop B

Dec 2, 2020

Terrible course. Poor presentation, unnecessary talks, clumsy video and outdated content.

By andrew r

Nov 25, 2020

A waste of time trying to setup an obsolete environment that is no longer supported.

By Kailash H S N

Aug 25, 2021

very bad , theyuse SF frames which is not in use now ..very hard to do the quiz

By Sudheesh R S

Jul 11, 2020

No proper directions as to how to work on libraries to be installed.

By Arpit S

May 22, 2020

Improve the quality of quizes. Need to focus more on algorithm part.

By Pratick B

Aug 8, 2021

I​nstallation of Sforce and turi was not shown adequately enough.

By Mohamed M

Sep 28, 2021

import turicreate is hard to install and class based on it

By Eunyoung C

Aug 29, 2020

This course could be better to use general python library.

By Christian C

Jun 5, 2021

El curso es bueno pero esta completamente desactualizado

By Sunita b l

Jul 4, 2020

Provide the good notes and video so all concept clear.

By Melissa F

Aug 2, 2021

cannot get the tools installed to do any of the work.

By Nguyen K D

Jun 18, 2020

Coursera Scam Auto Subcription. Free Fuckers

By Jeni

Apr 17, 2020

Instructional videos were unclear.

By MD D I

Jun 26, 2020

I want to un enroll this course

By ABHISHEK S

Jun 18, 2020

Not a good course to study

By Jorge L G A

Sep 23, 2020

no esta en español

By Batuhan İ

Aug 9, 2021

too old documents

By fuzhi z

Dec 8, 2020

Not recommend

By Jijo J

Apr 25, 2021

Outdated

By Bhavya C

Mar 18, 2021

worst

By ABOORVA M S

May 24, 2020

worst