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

4.6
stars
13,485 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

PM

Aug 18, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.

The forums and discussions were really useful and helpful while doing the assignments.

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1526 - 1550 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By SUTANUKA N

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Jul 27, 2020

the course is well detailed and amazing

By SENTHIL N S P

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Sep 30, 2019

Excellent course and recommend everyone

By Rajlakshmi K

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Apr 7, 2018

Great material, good contents...encoura

By Mohammed A S

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Mar 18, 2018

All the concepts were nicely explained.

By Mark h

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Jul 7, 2017

very helpful for a totally new learner

By Mohammad P

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Mar 8, 2017

Exceptional, my best course in Coursera

By Pablo F

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Oct 12, 2016

Really good intro for Machine Learning!

By Hari S

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Sep 25, 2016

Loved the course. Hope to do more soon.

By Gourab N

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Sep 7, 2016

Wonderful course! Excellently explained

By Kerry J

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Aug 25, 2016

Great introduction to machine learning.

By Yasovardhan R

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Apr 30, 2016

Good Course to start with ML Techniques

By Karundeep Y

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Feb 9, 2016

What a course it is?

Totally thrilled...

By Yegwende V T

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Feb 8, 2016

Great introduction to Machine Learning.

By Ihar M

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Jan 24, 2016

Great and well prepared course. Thanks!

By Ramya K

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Dec 6, 2015

Good case studies and teaching sessions

By Sudipta C

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Dec 17, 2020

The course is very much useful for me.

By A.BOVAS H B

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Jul 6, 2020

Very useful and informative. Thank you

By Gautham L

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Nov 15, 2019

Really a good course for the beginners

By Mang N

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Dec 15, 2018

以实际案例结合的讲解，非常有意义，对于新手来说，更能亲自体验到机器学习的强大

By Mohammad S K

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May 12, 2018

It was not easy for Novice like me. :)

By Deleted A

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Aug 3, 2017

Great course and Awesome instructors!!

By Kamlesh K

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Jul 14, 2017

Very Easily Explained The ML Concepts.

By Chen Q

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Jun 18, 2017

Good instructions and course projects.

By Garvish

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Jun 14, 2017

Great Information and organised course

By Kris R

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Mar 21, 2017

Informative, good survey of the field.