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

4.6
stars
13,534 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

SS

May 19, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

AH

Mar 28, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

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1501 - 1525 of 3,158 Reviews for Machine Learning Foundations: A Case Study Approach

By vivek

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Jun 21, 2020

really cool course!! Introduces you to ML

By Raj D

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Jan 11, 2020

Intense but at the same time fun learning

By Ashwani K R

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Oct 1, 2019

i was good course and I really learned ML

By adi0229

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Nov 20, 2017

very easy to understand in the first step

By Dhineshlal J

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Jul 2, 2017

Little challenging but you can get there.

By 杨铭宇

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Jul 1, 2017

A so good course with so lovely teathers.

By Ramona V

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Jun 24, 2017

Was very engaging and good for a beginner

By fatma g

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Jan 24, 2017

thank you very much for your huge efforts

By faiq a f

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Sep 13, 2016

It was a great course for the intrduction

By Job W

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May 4, 2016

Great introduction into Machine Learning.

By YH

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Feb 20, 2016

A good introduction course for beginners!

By Pavlo K

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Dec 24, 2015

Great introduction into Machine Learning!

By Rohit L

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Jan 13, 2022

The structure of the course is very good

By Somesh A

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May 19, 2021

Wonderful with all basics being cleared.

By stephane d

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Dec 20, 2020

Great introduction to Machine Learning !

By Ken D

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Dec 1, 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 13, 2020

its very good course.I ot best knowledge

By Tejasvi S

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Aug 9, 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 18, 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 3, 2019

Awesome learning experience.. loved it:)

By Santiago G

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Jun 7, 2018

Useful introduction to machine learning.