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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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1176 - 1200 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Pablo C

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Dec 29, 2015

You learn the basic concepts in a funny way, what else can you ask for?

By Tejas A

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Aug 25, 2020

One of the nice course for beginners to get into the machine learning.

By Amey S

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Jun 7, 2020

The Course Was Pretty great And Enjoyed learning from carlos and emily

By Anunay R

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Apr 23, 2020

Very good, provides hands on experience. But, lacks theoretical maths.

By Ahmed G

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May 10, 2018

A very Good Introductory course to begin your machine learning journey

By Deleted A

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Apr 19, 2018

Well taught, info really sinks in. For python could we of used pandas.

By Lyu Y

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Mar 12, 2017

Professors are brilliant but assignments are not 'challenging' enough.

By iphyer

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Dec 10, 2016

Very interesting courses and extremely useful after take Ng's courses.

By dominikguz1@gmail.com

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Jun 11, 2020

This course has shown e the basics of ML in a very understandable way

By Jay G

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Jan 10, 2020

This course would have been better if the assignments were in python.

By Zhaokang P

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Sep 29, 2017

it is very practical and benefitial. I like it very much ,thank you~!

By Stephen A

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Aug 20, 2017

Loved the course. Will be back to finish the specialization later on.

By Brian M

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Jul 4, 2016

Just the right level of information. Challenging, but not impossible.

By Abhishek R

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May 28, 2016

Fantastic course by the coursera and professors are teaching awesome.

By Ronny M

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Mar 23, 2016

Easy to follow, yet advanced techniques simplified by great software.

By Felipe N M

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Feb 8, 2016

Great introduction to Machine Learning with nice hands-on activities!

By Jatin S

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Dec 19, 2015

Good teaching your course helped me to learn basic ml algo.

Thank you,

By sridhar s

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Nov 28, 2015

I am in my third week.Its really amazing as I progress in the course.

By Mahipal M

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Apr 30, 2020

The case study approach is really easy to understand . A good start.

By Nikhil C

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May 14, 2019

One of the best machine learning course to start with as a beginner.

By Brandon M

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Sep 12, 2018

A much better introduction to ML compared to other MOOCs I've taken.

By Han W

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Aug 23, 2017

I've learned a lot about machine learning and graphlab, many thanks.

By Sarah W

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Jun 14, 2017

Awesome course! Great overview of ML, very accessible and practical.

By Julien B

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Jan 5, 2017

Dur a suivre en anglais mais très intéressant et très bien structuré

By Theo L

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Sep 15, 2016

A solid introduction to ML. Note this a basic, foundational course.