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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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751 - 775 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Enrique D

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Apr 16, 2017

Excellent introduction to machine learning! Best way to get an overview of the science and practice of this fascinating practice!

By Saqib N S

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Jun 21, 2016

The instructors explained the concepts well. This course gives a great overview of several concepts involved in machine learning.

By Matthias B

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Oct 25, 2015

Very nice course. Well structured and applications based introduction to ML with just the right amount of work peer week. Thanks.

By Anita Y

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Nov 28, 2020

Very useful and knowledge sharing course. All the concepts were explained properly. Both the instructors were very good. Thanks.

By Divyansh K

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Jun 14, 2020

Instructors were amazing. I loved the way Carlos sir speaks. Understood the basics. Time to take a deep dive in Machine Learning

By Walt M

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Feb 4, 2019

create videos and hands on practices

Neural network part should be enhanced with more common frameworks, such as TensorFlow/Keras

By Nathan M

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Feb 27, 2017

Excellent introduction to basic concepts of machine learning. I will continue to follow the other courses in the specialization.

By Sabin K

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Jan 24, 2017

Nice introductory class. It gives you a nice concepts of various algorithms with a working example. Thoroughly enjoyed the class

By Nirdesh D

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Jan 8, 2017

Great course. This course is designed to make it easy to learn and implement various machine learning algorithms and techniques.

By Hao K L (

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Oct 30, 2016

This course is a greate introduction towards machine learning and the package used graphlab create is really easy to use as well

By Praveen k

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Dec 1, 2018

Good case studies to start with. Would have been better if python 3 was used. Please update and provide everything in python 3.

By courage s

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Aug 17, 2018

SPOT ON 100%. Teaching Methods - 100, Humor - 100, Practicality - 100, Applicability - 100.

Thanks UoW, Emily, Carlos, Coursera.

By Anuj G

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Jul 18, 2017

This course is fantastic. I got hands on coding practice using this course which makes me already feel like a Data Scientist :)

By Amar P

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Jan 9, 2017

Course material is very good, illustrating real world examples. Need a bit more participation of mentor/TAs in discussion forum

By Santhanam E

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May 24, 2016

Very prominent one for machine learning, Kudos to the instructor both done their part very perfectly. Thanks for the coursera .

By Sophie Z

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Apr 5, 2016

This course is easy to start with. It helps building confidence. Thank Carlos and Emily for this wonderful introduction course.

By Tripat S

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Nov 24, 2015

This is the most pragmatic course on Machine Learning - A must have course for everyone, who wants to get into Machine learning

By Radwa E S

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Apr 26, 2018

The course introduces most of the basis of machine learning in a very simple and clear way illustrated by real world examples

By Junliang Z

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Sep 22, 2017

My first course in Coursera! totally worth it

Good course to learn the basic theory about ML. Quiz and homework is instructive.

By Halil B

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Aug 10, 2016

Instructors clearly explained the concepts. Teaching with real examples is a great idea. Looking forward to see other courses.

By AKANKSHA S

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Aug 23, 2020

Great course..... In starting i do have problem coping up with turicreate. But later, enjoyed as well learned a lot about ml

By Panchal R J

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Jun 10, 2020

The course was really every informative and it gives you a practical perspective to Machine Learning. Really I learned a lot.

By OLZHAS S

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Feb 16, 2019

Feeling still long way to go, at least took very serious track - with challenging assignments and re-learning required tasks!

By Manoj K B

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May 26, 2018

Very good approach of learning, and the course material is designed very nice to get the gist of the class with an assignment

By Francisco C

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Mar 20, 2017

Buen curso, muy fácil de digerir por la metodología utilizada, permite introducirse de buena manera al tema machine learning.