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

4.6
stars
13,492 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

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.

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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1451 - 1475 of 3,143 Reviews for Machine Learning Foundations: A Case Study Approach

By Ujwala M S

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May 31, 2019

Excellent online training and systematic app

By Akshay C L

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Sep 15, 2017

A brilliant way to introduce ML Foundations.

By Gerardo O

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Aug 7, 2016

Great course, I like the practical approach!

By Yongxiang T

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Apr 10, 2016

I like this course, very practical and cool!

By James L

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Feb 1, 2016

Cool intro to machine learning and graphlab.

By Siyuan M

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Oct 23, 2015

Like the toolbox and this case-study pattern

By Shubham D S

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Jul 23, 2020

In this course is very useful for beginners

By Jose E S S

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Jan 13, 2019

Awesome, better course of machine learning.

By Abhishek B

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Dec 16, 2018

Good Machine Learning course for beginners.

By ANIL K S

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Nov 4, 2017

Excellent approach, examples & presentation

By Abhi R

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Apr 19, 2017

Awesome - it is a great introduction to ML!

By Ganghee J

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Dec 2, 2016

Great introduction to the machine learning!

By Mohsen H

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Apr 10, 2016

This course is wonderful. Thanks very much.

By mahmoud r

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Mar 13, 2016

Best thing to get you into machine learning

By Itai H

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Nov 26, 2015

It is a great overview on machine learning!

By Aritri B

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Oct 1, 2023

Was a very insightful learning experience.

By Rishabh K H

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Nov 19, 2020

very useful and the syllabus was fantastic

By Arun H

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Aug 6, 2020

Really good course, excellent explanation.

By Sunil P

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Jun 29, 2020

Worked with more example oriented approach

By Joanna G

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Jun 29, 2020

Very clearly taught course and informative

By HAROON S

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Apr 28, 2020

The Course was great and fully Invormative

By Rostyslav Z

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Apr 12, 2020

Great course! Thank you, Carlos and Emily)

By Zimpi k

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Mar 18, 2020

Loved it! Made what I already knew clearer

By Sachin S

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Nov 12, 2019

The course was awesome! Really loved it :)

By Suyash S

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Sep 10, 2019

Liked the use case example ... really cool