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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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751 - 775 of 3,116 Reviews for Machine Learning Foundations: A Case Study Approach

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

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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.

By andreas c c

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Mar 15, 2017

I really enjoyed the course! IVery practical and straightforward,we dive to Ml right away.

Amazing instractors and very funny.

By Johannes C

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Oct 1, 2016

The hands-on exercises were really fun and brought a lot of insight. The material was presented in a very understandable way.

By Adriana M R C

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May 9, 2016

I truly enjoyed this course, its "case study" approach and its "hands on" learning activities. I expect to continue this spec

By Mark T

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Dec 31, 2015

Awesome material and organization. Also, real fun chemistry between the two instructors (they MUST be married or something!)

By Vikash C S

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Nov 15, 2015

I am currently taking this course and I find this approach (case study approach) very effective in learning on MOOC platform.

By Shyam S K (

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Sep 29, 2015

The Best Thing About Case Based Study is That You See The Things Actually Happening And Nothing Feels More Good Than That :))

By Alejandro A J

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May 25, 2021

Great course, it shows the basics of machine learning with several assingments that are enough to prove what you have learn.

By Praveen B

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Nov 27, 2018

The professors have taken it in a fun filled way. The material is also very interesting. This is an experience worth having.

By Kurt K

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Dec 24, 2015

Good introduction course providing nice overview of topics to be seen more in detail in the remaining of the specialization.

By Rowen

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Oct 28, 2015

Teachers are really nice. Materials and the teaching are fantastic, I really learned a lot from this course. Thanks so much.