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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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1626 - 1650 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By songwei

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Jan 12, 2016

cool class about machine learning

By Alfonso d F

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Nov 30, 2015

Great introduction to ML concepts

By Rubens P

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Oct 20, 2015

Good examples and very practical!

By Thejaa V r

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Nov 10, 2021

useful for my career development

By fernandes m

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Aug 28, 2020

Very good, best that I specteted

By Chiranji L C

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Mar 27, 2019

practical exposure is excellent!

By Ankita M

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Nov 20, 2018

great content and good exercises

By esther@lumastech.com

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Jul 17, 2017

very crisp and clear explanation

By Fernando B

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Feb 21, 2017

Best Course on ML yet on the Web

By Laura G

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Feb 20, 2017

Great start to Machine Learning.

By Dmytro K

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Jan 22, 2017

Great intro to Machine Learning!

By Hristo V

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Jan 16, 2017

Fantasic, very practical course!

By José A S P

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Oct 19, 2016

awesome! fantastic! outstanding!

By ewa w

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Jul 17, 2016

great course , great start to ML

By Adedeji A

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May 12, 2016

What a practical course. Awesome

By Dmitry G

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May 11, 2016

Great introduction to the field!

By Abhishek B

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Jun 26, 2021

The course was very informative

By Kartik K

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Apr 25, 2021

Great explained by the mentors.

By Karthikeyan s

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Jul 29, 2020

Super and also very informative

By Imtiaz

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Jun 11, 2020

Fantastic course, enjoyed a lot

By Ramiro d V d S J

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Dec 10, 2019

Está sendo sensacional o curso.

By Zohaib M

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Dec 5, 2018

very good and excellent course.

By khalid k

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Oct 24, 2018

Very effective teaching method.

By Arun K P

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Jul 10, 2018

Very good concept, It opens the