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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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801 - 825 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Zachary C

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Dec 21, 2015

Very clear and practical instruction! I great introductory survey of data science tools with easy to understand use cases.

By Namgyal L Y

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Dec 12, 2022

Overall a very engaging and practice based ML foundational course. Definitely recommend to anyone interested to learn Ml.

By Dilip K

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Aug 23, 2021

Content is good but few places things are not updated like notebooks and videos sometime differ slightly but mostly okay.

By Varun B

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Jun 27, 2021

Very helpful course. The instructors take you through different concepts of machine learning in a very simplified manner.

By Angel A F T

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Aug 9, 2020

It´s great. I like this course because my mind was opened about predictions, analysis, and others ways to watch the data.

By Shakya S B

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Dec 28, 2018

This course is very helpful for a beginner and provides a good foundation for the specialization and the advanced courses

By Abhijit c

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Jan 14, 2018

This really helped me understand basics about Machine learning concepts. programming exercise were very relevant . thanks

By Yukai Z

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Mar 15, 2016

An excellent courser for stepping into Machine Learning as well as basic python programming skills. I enjoy the learning!

By 熊大平

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Oct 14, 2015

Doctor Emily and Carlos, thank you for your perfect course. Through studying the course, i can learn a lot of knowledges.

By prativa a

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Nov 14, 2020

Very good approach.. i is really easy to understand when we can learn on the basis of real world. So i like this course.

By Duke

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Apr 4, 2020

Basic introduction and the test is really time-cost. But with careful guidance and nice professor, I rate it as 5 stars!

By Aakash S

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May 25, 2019

One of the best in the business covering all the basics in a very concise and understandable way. Thanks a lot Coursera.

By Fahad S

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Nov 2, 2018

The case study approach works perfectly to enhance motivation. It sets up the stage for diving deep into the algorithms.

By Robin G

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Jan 10, 2017

Le cours utilise la pédagogie par projet ! Ce qui est la meilleure approche à mes yeux. Fortement conseillé aux novices.

By Akash S

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Aug 7, 2016

An excellent introductory course. Unlike other courses, demonstrations are really good and matter is concise & relevant.

By Yadav K

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Jun 23, 2016

excellent overview of the ML and to the point, enough to start head on into the subject without beating around the bush.

By Junkai Z

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Apr 23, 2016

A very good and precise review for all the application of popular machine learning algorithms, provide great intuitions.

By Iain M

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Mar 25, 2016

A well-structured and well taught introduction to the subject, I feel fully prepared for the next course in the series.

By Angel S

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Nov 6, 2015

Great course and excellent hands-on introduction to ML techniques.

Looking forward to next courses in the specialization.

By Andres V T (

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Feb 22, 2024

pretty useful and great course. The scope of the course is broad and so well explained, without making it overwhelming.

By Akash T

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Jun 8, 2020

This will be my first machine learning course.I am very happy to be here and learn new things and different algorithms.

By Carlos M d l S

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Jul 3, 2018

Well-structured course built around specific problems and how to solve them using Machine Learning. Highly recommended.

By 陈弘毅

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Jan 8, 2018

the course is pretty and interesting, i was excited to learn all the material in the lecture with the guide of mentors

By Noufal S

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Apr 21, 2016

It's a little hard but i suppose it is meant to be hard because i am studying the hottest course in the world right now

By Fokhruz Z

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Feb 28, 2016

Case Study Based Approach is VERY important in learning new technologies. Need some more practical Capstone Projects...