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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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1576 - 1600 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Yao-Lun S

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May 24, 2017

Very great and comprehensive course!

By Sarn

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Dec 5, 2015

Excellent intro to Machine Learning.

By SAYU N S

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Sep 29, 2020

It was really good and informative.

By houchangxi@hotmail.com

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Oct 4, 2019

非常值得学习的课程，实用的项目讲解，虽然练习题过于简单，但是内容非常棒

By Justinas S

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Oct 26, 2018

Interesting course, it's our future

By Marco A

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Aug 4, 2017

Muito interessante e bem formatado.

By 陶淳

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Dec 3, 2016

great lesson with great professions

By Harshit S

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Oct 23, 2016

Very informative course! Go for it.

By Juan A P G

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May 2, 2016

Great great awesome amazing course!

By Kishwar K

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Feb 6, 2016

Highly recommended. Perfect Course.

By Kiran B

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Jan 6, 2016

One of the best courses on coursera

By Luo T

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Dec 4, 2015

Superb organised! Very interesting!

By Rohan S

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Jul 21, 2020

Excellent Course For ML Beginners.

By Omran A S S A R

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Jun 4, 2020

Loved the course. Very insightful.

By S M A J

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Apr 29, 2020

Greate course for machine learning

By Partheepan

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Apr 17, 2020

Usecases are very useful to learn.

By Saad A

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Oct 24, 2019

thank you, one of the best course

By Jerome Z

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Apr 21, 2018

Very Great machine learning Class!

By Shubhanshu S

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Dec 26, 2017

Very basic and informative course

By Dame N

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Oct 31, 2017

What a great course! Wonderfull...

By Zijiao Y

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Jun 24, 2017

pretty cool class for beginners :)

By jesus h a

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Jun 21, 2017

Good and fun way to learn about ML

By m i

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Sep 2, 2016

wonderful.........................

By 金禄旸

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Jan 8, 2016

A good course focused on practise.

By Kyrylo S

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Dec 28, 2015

Excellent presentation of material