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

4.6
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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

RM

Feb 3, 2022

I was very disappointed with the exclusion of the final courses and the capstone project. The most interesting part of specialization no longer exists and no plausible justification has been given.

DS

Sep 28, 2015

Excellent course, with really good lectures, material and assignment. Plus the professors are really amazing and their enthusiasm is really refreshing and makes the class more interesting. Loved it!

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2101 - 2125 of 3,158 Reviews for Machine Learning Foundations: A Case Study Approach

By Pradeep M

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Apr 5, 2016

Excellent

By Maxwell N M

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Dec 13, 2015

Very Cool

By Giovanni C A

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Nov 3, 2015

Excellent

By Zhenis A

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Oct 22, 2024

Огонь!!!

By Gaurav P

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Apr 27, 2023

3700Rs/-

By Ayoub I

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May 18, 2022

good job

By Mustefa A U

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Dec 20, 2020

good job

By Malèk R

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Oct 12, 2020

Good job

By mahantesh k

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Sep 25, 2020

excelent

By S. M S H

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Sep 5, 2020

Good one

By Md. T U B

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Jul 10, 2020

excelent

By GIRISH S

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Jun 28, 2020

nice one

By Steve F S

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Apr 28, 2020

awesome!

By mengheng x

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Jun 11, 2018

h很不错的入门课

By Shikha A

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May 6, 2018

Awesome!

By Aaryesh K

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Apr 5, 2018

too good

By 张业伟

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Sep 17, 2017

Perfect!

By Allen P

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May 20, 2017

awesome!

By 任晨熙

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Jan 29, 2017

很专业，正在学习

By Chaney C

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Nov 7, 2016

入门级别收获良多

By Việt N T H

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Aug 7, 2016

Awesome!

By Erickson M

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Jun 19, 2016

Excelent

By Haider A

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Apr 9, 2025

amzaing

By Дүйсенәлі Ұ Б

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Oct 30, 2024

perfect

By Phạm N K

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Aug 10, 2024

amazing