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

4.6
stars
13,379 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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1001 - 1025 of 3,117 Reviews for Machine Learning Foundations: A Case Study Approach

By Qing-Qi C

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Oct 4, 2016

Clearly course, but still hope to get more information about how to use other frame work

By Pawan S

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May 17, 2016

best teaching approach .

i think this approach should be adapted for other courses also

By Subham M

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Apr 27, 2016

Awesome course. But i suggest more flexibility in deadline of submission of assignments.

By Azad K T

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Nov 1, 2015

An extremely helpful course for beginners. I wish to do all of it's proceeding courses..

By Sina G

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Mar 19, 2021

Best Machine Learning Course on Coursera! and for Free. Thank you for the awesome work!

By Val V

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Oct 29, 2020

Very nice intro to machine learning. Looking forward to the next courses in the series.

By Vishalini

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May 20, 2020

The very idea of case study approach is awesome and thus concept clarity is the maximum

By Liliana *

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Aug 20, 2017

I have learned the basics about Machine Learning in a simple way :) Highly recommended.

By Ida C

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Jun 5, 2017

This course is interesting, it is good for someone know nothing about machine learning.

By Chris M

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Feb 28, 2017

This course did an excellent job of introducing the basic concepts of machine learning.

By Dj S

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Oct 26, 2016

This 1st course was excellent, others in the specialization moved quicker than expected

By Nilesh K

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Jul 9, 2016

beautiful overview of ml tools available. kudos to carlos and emily, thank you so much!

By Sharad J

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Mar 23, 2019

The ML concept is explained with use cases and demonstrated with python programs which

By Amogh B

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Feb 22, 2019

Its really wonderful course to get the familiarise with the basics of Machine Learning

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.