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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

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.

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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1151 - 1175 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

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!

By Pablo C

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Dec 29, 2015

You learn the basic concepts in a funny way, what else can you ask for?

By Tejas A

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Aug 25, 2020

One of the nice course for beginners to get into the machine learning.

By Amey S

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Jun 7, 2020

The Course Was Pretty great And Enjoyed learning from carlos and emily

By Anunay R

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Apr 23, 2020

Very good, provides hands on experience. But, lacks theoretical maths.

By Ahmed G

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May 10, 2018

A very Good Introductory course to begin your machine learning journey

By Deleted A

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Apr 19, 2018

Well taught, info really sinks in. For python could we of used pandas.

By Lyu Y

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Mar 12, 2017

Professors are brilliant but assignments are not 'challenging' enough.

By iphyer

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Dec 10, 2016

Very interesting courses and extremely useful after take Ng's courses.

By dominikguz1@gmail.com

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Jun 11, 2020

This course has shown e the basics of ML in a very understandable way