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

4.6
stars
13,375 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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676 - 700 of 3,116 Reviews for Machine Learning Foundations: A Case Study Approach

By Amirhossein T

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Aug 9, 2020

This course is excellent and user-friendly and covers very good topics. Also, the quiz questions are well designed to clear up any ambiguities

By UMAR T

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Mar 12, 2020

Carlos from Amazon is interesting instructor for telling learners how to use machine language for buying, selling and predicting house prices.

By Gunjari B

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Sep 15, 2017

A great course for starting with Machine learning! Hoping to learn more by progressing through the specialization! Thank you Carlos and Emily!

By Michael L

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Dec 24, 2016

what an awesome mooc. incredibly practical, consistent, coherent and eye-opening! looking forward for the next courses in this specialization.

By Ayush S

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Jul 26, 2016

Amazing Course. Covers the fundamental clearly. Best machine learning course out there. Expects you to do some research. A good course in all.

By WONG H L

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May 8, 2020

Thank you very much Carlos and Emily! It was a great introduction to Machine Learning. The approach using case studies is good for beginners.

By Patrick A

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May 1, 2020

What a simple way of teaching machine learning basic concepts! Thanks a bunch to the teachers and Coursera. Look forward to the next classes.

By Rohit N

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Apr 18, 2020

We got a gem of instructors Emily and Carlos.Their explanation style was very engaging and they made me truly love this field.Thanks a bunch.

By Enock A

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Jan 3, 2020

i loved the case study and hands on approach put to this course. really got me excited and eager about the next steps all through the course.

By Massimo C

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Jun 14, 2019

I found this course to be very interesting. the two professors were very good at dealing with difficult subjects in a simple and pleasant way

By 银大伟

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Mar 24, 2018

this is a great course and I liked the way of teaching. Case studies are really helpful to understand the concepts behind the surface.

Thanks.

By osama b b

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Dec 29, 2016

Excellent course but good for the beginners . After this you can will have much knowledge to take any advance course related machine learning

By Chuck D

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Apr 18, 2016

Very clearly presented and appropriately paced. Great overview of topics. I'm looking forward to going into more depth in subsequent modules.

By Brian B

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Dec 4, 2015

Great, and very easy to learn the foundations of ML!

Case-based study is a great way to teach this kind of material for beginning ML students!

By Haoyan

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Oct 26, 2015

I like this case study approach, it shows people what you can do with machine learning, a lot of stuffs in a relatively short amount of time.

By Bipin K C

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Mar 25, 2020

Awesome, This is what i liked pretty much in this course is that, learning by doing! This is what should be followed for most of the course.

By Samuel M

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May 30, 2019

Great course. Unique approach. Hands-on all the way. I love the way the professors link all the content to industry applications. Thank you.

By Yashaswi P

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Aug 6, 2018

I still think it is better to have different course content at the start for programmers, people with some mathematics background and others

By Omkar P

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Apr 18, 2018

Great course, gave me good understanding of the machine learning scenario. I can focus on studies based on my current problem understanding.

By Sandeep J

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Jan 9, 2016

Amazing course. Gives a great insight into Machine Learning. If you're skeptical about what machine learning is, this is the course to take.

By William G

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Nov 1, 2015

Outstanding!!! Can't wait for the next course on Regression!

They found the perfect balance between making it fun and challenging. Great job!

By György A K

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Jan 21, 2022

Highly interesting full of valuable resources. Everyone need this course who are eager to get some information what the AI can do (for us).

By Piper M

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Dec 2, 2015

A great overview - somewhat basic if you already have some quantitative background, but it introduces the concepts and methods really well.

By Chi P H

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Jan 23, 2018

The professors are very professional. They introduce this course by interesting way. Step by step from easy to hard. Strongly recommended.

By Festus F

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Oct 29, 2016

This is a great course i do recommend it for students ready to learn the new way of working with data and not bunch of IF..Else statements