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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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1026 - 1050 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Ahmed T

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Oct 5, 2017

The best thing is that it shows how machine learning is applied in real world examples

By Manoj B (

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Jun 10, 2017

I love this. I suppose the love word accounts for the highest score:P Great ML course.

By Ayham Z

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Oct 5, 2016

An excellent introduction to the field with well-designed exercises and hands on labs.

By Premnath K N

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Feb 7, 2016

very good ML overview course with practicals (in 4 weeks) I have come across so far...

By Joydeep G

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Nov 20, 2015

I am yet to complete this course but so far I have completed, the course is excellent!

By Antonio P L

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Nov 6, 2015

Very complete introduction course to Machine Learning. Both teachers are really funny.

By Nouman I

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Sep 16, 2022

Thank u so much for this course.. This course very helpful for me in my carrier goal.

By Бойко Х А

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May 31, 2022

This is a very useful course with good material and clear explanations from teachers.

By sudip t

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Sep 17, 2020

Really nice course to start if you really don't know anything about machine learning.

By Kai S

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Jun 4, 2019

Nice course with alot of examples from which you can learn how the turi engine works.

By Lahiru H

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Mar 4, 2019

great course content to get started with machine learning and also for deep learning.

By 何益帆

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Feb 26, 2018

It is a perfect course about ML,especially for the students without much backgrounds.

By Paul M

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Feb 4, 2018

I like the case study approach. Much easier and more relevant way to learn the topic.

By Arthur Z

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Feb 24, 2017

A really nice appetizer to begin this specialization. The professors are excellent.

By Jifu Z

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Jul 22, 2016

Good class, But it would be much better if the quiz is open to those who doesn't pay.

By Deepak G

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Jun 24, 2016

I have tried several introductory Machine Learning Courses. This is the best of them.

By Ganesan P

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Jun 5, 2016

it was a good introduction to concepts. would recommend the course to beginners in ML

By Abhijit S

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Feb 8, 2016

This course is one of the best MOOC i have attended, best approach and nice hands on.

By Robert R

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Jan 5, 2016

Great way to provide a conceptual overview before getting bogged down in the details!

By Yifei L

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Dec 3, 2015

Very clear and detailed introduction with practice!

Looking forward to coming courses!

By Prachuriya M

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Nov 18, 2020

Very nice Course for beginners to get started, loved all examples and learned a lot.

By Ribhu G

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May 23, 2020

Very wonderfully taught and it was so lucid to learn from Carlos and Emily. Thanks!!

By Yanyan J

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Jun 20, 2018

Good overview, well structured, covers good breadth of topics in product management.

By Zakarie H

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Jul 8, 2017

I do really enjoyed it, the instructor knows the material and makes it fun to follow

By Deleted A

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Nov 25, 2016

Excellent Course for those who want their fundamentals to be very clear and precise!