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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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1151 - 1175 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Manu D

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Feb 8, 2016

I would have liked promotion of usage of more mainstream tool like SciKit

By Edmilson F d S

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Dec 13, 2015

Excellent!! This course gives a nice introduction about Machine Learning.

By Ellen Z

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Sep 30, 2020

Very intuitive explanations. Good overview of machine learning concepts.

By Abhishikta U

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Jun 2, 2020

Excellent! I learned a lot. Thanks for the instructors. They were great.

By NASRIN J

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Oct 6, 2019

It is really helpful. Thanks a lot coursera for giving such opportunity.

By Shuang D

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May 22, 2018

very great ML introductory course! I really like the case-study approach

By Rigoberto R

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Jul 1, 2017

Very nice, concise and useful. General overview of major topics covered.

By Oluseyi

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Jun 19, 2017

I enjoyed the occasional humor that Emily and Carlos add to the lecture.

By Rodrigo P

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Dec 29, 2016

Excelente! Curso muito didático e com um conteúdo muito bem equilibrado.

By Otniel P

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Jul 28, 2016

This course is a wonderful introduction to machine learning applications

By Gerardo G

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Mar 14, 2016

Excellent introduction course.

I'm now enrolling on the regression course

By Joao C

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Feb 6, 2016

Great course on ML. All the important foundations explained really well.

By Mohnish P

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Jan 15, 2016

An excellent introductory course. Emily are Carlos are awesome teachers.

By Jainil S P

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Dec 26, 2020

it was real nice conepts of machine learning and I enjoyed it very much

By Erick N S L

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Sep 13, 2020

Excelente curso, se aprenden muy buenas cosas aplicadas en casos reales

By Vikas K

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Aug 21, 2020

It is amazing course explanation of linear regression is the best part.

By Ganesh A G

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Jun 11, 2018

Course is good but it will be better if it takes a more steady approach

By Laerti P

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Nov 11, 2017

Great intro. I think that deep learning week could be improved further.

By cassandravictoria i

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Aug 16, 2017

will certainly continue on with the rest of the series. so interesting!

By Alejandro M

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May 1, 2017

Very good approach to explain the general concepts of Machine Learning.

By Nisha D

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Mar 10, 2017

I really enjoyed this class! It was well taught and easy to understand.

By Bharath C

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Feb 13, 2017

This course gives the kick start needed to start a data science career.

By Guomao X

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Sep 13, 2016

cool, the lectures are nice. Personally I like the instructors' style:)

By CHIEN-CHEN C

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Jan 30, 2016

Very helpful and good course. It's easy to understand for the beginner.

By Margaryta N

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Jan 6, 2016

It was great course! Emily and Carlos are awesome. Thank you very much!