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

4.6
stars
13,531 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

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

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1351 - 1375 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Digvijaysing R

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Jul 30, 2020

This is the Best Course on Coursera for ML beginners.

By Dr N C D

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May 17, 2020

Very informative and knowledge gaining course..Thanks

By Vasudha S S

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May 15, 2018

Excellent course to get started. Thanks you very much

By Srivatsa C

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Jul 21, 2017

Great course with good use cases for ML applications.

By Gautham K G

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Apr 14, 2017

A really good foundation course for Machine Learning.

By Changik C

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Nov 8, 2016

Good course to see various models in machine learning

By Yury N

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Jun 9, 2016

Very good introduction to the Machine Learning domain

By anuj a

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Mar 3, 2016

very goood course for 1st learner of machine learning

By Matthew M

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Oct 16, 2015

clear and useful explanation of the basic tools of ML

By José L C G

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Jan 21, 2020

Fantastic course, I learned a lot and very practical

By Veena J

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Feb 25, 2018

Week 6 Quiz was confusing. Questions were ambiguous.

By MOONKOO K

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Dec 20, 2017

I have learned machine learning & Python Programming

By Ben W

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Jan 19, 2017

Not easy...but that's what makes it worth it, right?

By Clare H

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Dec 27, 2016

A nice survey of various topics in Machine Learning!

By Samriddh K

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Jun 15, 2016

It is a good introductory course to machine learning

By Sai K G

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Mar 14, 2016

Good course which includes hands on training as well

By Akash G

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Nov 22, 2021

Gives basic understanding of each and every topic.

By THANUJ R

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Sep 17, 2020

its awesome thanks for trainers and thanks coursera

By Nikhil t

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Jun 22, 2020

Best course for interested student in every courses

By Kazi S S I

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Apr 9, 2020

Great. THanks for new tutorial. Good for real life.

By Pedro L R G

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Mar 14, 2020

Amazing course and amazing teachers. Thank you all!

By PRASHANTH B

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Jan 3, 2020

Great introductory course on different ML concepts.

By Sameh E

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Jan 19, 2019

very good and very nice course, it added lots to me

By Mats d k

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Jun 13, 2018

Brilliant course with the best imaginable teachers!

By Jonathan H

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Jul 1, 2017

Emily and Carlos are great! Excellent intro course!