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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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1401 - 1425 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Tariq H

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Sep 10, 2017

A structured course on basics of machine learning

By Blaine T

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Jul 30, 2017

Very good lectures, good pace, engaging lecturers

By Qiongge L

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Dec 16, 2016

This is an extremely practical and useful course!

By Shantanu K

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Aug 26, 2016

Really good learning path. well chalked out couse

By Rui W

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Jun 8, 2016

A good guide to practice machine learning system.

By John L

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Mar 27, 2016

good course for data scientist, learn a lot in it

By Anurag K

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Aug 25, 2020

Best Course to get started with Machine Learning

By SOURAV D S

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Aug 5, 2020

Best course i have ever done of machine learning

By Eugene P

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Jun 12, 2020

Great foundational concepts of machine learning.

By Will

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Apr 23, 2020

教學詳細，而且題材實用且有趣。缺點是教學影片有點陳舊，用的方式和實際操作上有出入，但是瑕不掩瑜。

By Md. R K

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Dec 14, 2018

Awesome course to get started to ML with Python.

By Muhammad N

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Oct 24, 2017

It was an amazing experience. highly recommended

By Ai-Hsin L

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Oct 23, 2017

I did learn the concepts and enjoyed the course.

By Kouassi K J

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Jun 5, 2017

Very practical Machine Learning using GraphLab !

By Valéry V

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Mar 7, 2017

Awesome course ! Loved the case study approach !

By zjy8820

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Dec 19, 2016

The course is wonderful. I learn a lot about ML.

By Nitin K

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Aug 30, 2016

A very exciting introduction to Machine Learning

By VINOJ J H

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Jun 30, 2016

Easy and simple... perfectly explained.

Thank you

By Vitali M

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May 20, 2016

Instructors are presenting this topic very well.

By Jie G

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Jan 12, 2016

Very original and creative approach of training!

By Catalina P

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Dec 23, 2015

Great overview of the power of Machine Learning.

By Raimondas Z

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Nov 17, 2015

Great overview of the field of machine learning.

By siya a

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Apr 9, 2025

i learned i lot of think with you thanks a lot

By MUHAMMAD A

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Feb 12, 2021

i really enjoyed this course, thank you so much

By Anjaneyulu R

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Jan 27, 2021

Very practical and easy to improve my knowledge