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

4.6
stars
13,485 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

PM

Aug 18, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.

The forums and discussions were really useful and helpful while doing the assignments.

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1501 - 1525 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Somesh A

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May 18, 2021

Wonderful with all basics being cleared.

By stephane d

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Dec 19, 2020

Great introduction to Machine Learning !

By Ken D

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Nov 30, 2020

Great intro into common algorithms used.

By Walid H

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Nov 15, 2020

This is a amazing course for beginners.

By Manorma m

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Oct 11, 2020

nice experience in learning this course

By SONALI A P

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Aug 12, 2020

its very good course.I ot best knowledge

By Tejasvi S

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Aug 8, 2020

thank you so much !wonderful experience.

By Diksha G

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Jun 17, 2020

amazing explanation by the professors!!!

By MUHAMMED S

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May 17, 2020

Machine learning is best training option

By Sanjay C

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May 4, 2020

It is a good course as an ML foundation.

By Sudhir P

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Dec 2, 2019

Awesome learning experience.. loved it:)

By Santiago G

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Jun 6, 2018

Useful introduction to machine learning.

By Mohamed A

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Jun 20, 2017

Really great deal you make great team :)

By Raghav M

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Jan 23, 2017

The Deep Learning Module can be improved

By 董浩

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Dec 4, 2016

I very excited for this class, thanks!!!

By Luis E T N

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Nov 21, 2016

Ótimos instrutores e material. Parabéns!

By Léo B

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Apr 16, 2016

AWESOME course! Thanks Carlos and Emily!

By Aurelije Z

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Mar 6, 2016

great course - i really like it.

Aurelije

By 江智彬

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Feb 27, 2016

The tool, Graphlab Create is very nice ！

By krati c

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Dec 19, 2015

Very nice course for introduction to ML.

By Puneet S

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Dec 16, 2015

A good introduction to machine learning.

By Pranas B

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Dec 8, 2015

The best ML/Data Analysis course so far.

By Aaryan T

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Oct 22, 2020

Helped out a lot in grasping the basics

By Adarsh K

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Sep 20, 2020

Was a Good experience to learn this one

By Manish A J

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Aug 30, 2020

Very well design to kick start ML study