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

4.6
stars
9,929 ratings
2,379 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

BL

Oct 17, 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 20, 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.

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2026 - 2050 of 2,299 Reviews for Machine Learning Foundations: A Case Study Approach

By yangxiaoqi

Jan 29, 2018

可以在刚入门机器学习时候听一听这门课,能够知道机器学习在实际中如何应用的。但是要深入机器学习还是应当学学里面的数学知识的。

By Johan M

Jun 09, 2016

Excellent course. Looking forward to the rest of the courses.

By David B

Dec 04, 2015

A nice introduction to the various machine learning concepts.

By kumar s p

Oct 15, 2015

Nice for learners who want to jump start in machine learning

By Gopisetty k p

Jun 24, 2016

This is very good material for machine learning starters.

By VJ

Nov 16, 2015

good material. good presentation skills of the instructor

By João G B A V

Dec 04, 2017

Muito bom, os exemplos onlines poderiam ser interativos.

By Milan C

Oct 20, 2017

Nice overview about different Machine Learning concepts.

By Jjclof

Oct 17, 2016

Well-made.

Good teachers.

But a bit too simple. 4/5

Thanks.

By Markus M

Feb 10, 2016

Good structure, but maybe a bit too basic and slow pace.

By Dai W

Jan 03, 2016

I cannot review my completed homework. It's very boring.

By Lena M

Dec 22, 2015

Loved the course, the teachers, the case study approach.

By Andrew G L

Aug 05, 2017

Good introduction. Don't expect more than that though.

By Wangjun

Dec 29, 2016

This course is very good.Thankyou for all the teachers.

By Alain C

Feb 15, 2019

Technical setup is not easy, but great business cases.

By SATYA P A

Apr 29, 2020

its was very useful to learn about machine learning !

By Rajeev R

Oct 01, 2019

wonderful experience. It's like doing a live project.

By Abdulrahman M A K

Jul 10, 2019

Awesome instructors and great knowledge and practices

By Divya v M

May 29, 2016

Great overview and broad foundation of all techniques

By Jorge S N

Apr 09, 2016

El más intuitivo curso de ML que he visto en Coursera

By Bhakthavatsala R

Jun 16, 2018

Interactive and very interesting. good for beginners

By Fenjin W

Apr 15, 2016

Great course! Hope the slides gets better annotated.

By Yagyansh S K

Dec 03, 2016

Awesome Teaching Technique Used! Kudos To The Team!

By Avinash P M

Dec 13, 2016

Assignments could have been little more difficult.

By 吴青

Dec 06, 2017

didn't reach my expectation but still quite good.