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

4.6
stars
13,532 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

AH

Mar 27, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

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2776 - 2800 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Deleted A

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Jan 21, 2019

great class to learn machine learning hands on

By Spike Y

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Nov 30, 2017

I like the explaining about ipython notebook !

By Abid A S

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Aug 3, 2017

Good one to start learning some basic concepts

By Amilkar A H M

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May 10, 2019

It's a very good introduction to the subject.

By Roberto E

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Nov 28, 2016

Interesting but a bit weak for my purposes...

By Matic D B

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Feb 9, 2016

Great course. Maybe a little bit too basic.

By Jayant S

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Oct 22, 2019

Explanations must be more comprehensible.

By Flavio B

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Feb 9, 2016

Most of it I already knew, but was nice.

By GOLLAPUDI R C

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Nov 23, 2015

A good introduction to machine learning

By Charupriya S

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Jul 21, 2020

It's really nice course for beginners.

By Sankara S K

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Sep 22, 2018

This is a good 101 course to start ML.

By Nilkumar P

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Jun 10, 2020

So far Best Course on Machine learnig

By Jakkamsetti S D

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Apr 27, 2020

It's really good studying in Coursera

By Om D

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Dec 4, 2019

Nice Course with Detailed explanation

By Oleg S

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Jul 21, 2017

very difficult...a real challenge....

By JUTUR S V

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Jun 24, 2020

Easy Understanding and good teaching

By Alberto M

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Sep 21, 2018

Good overview but basic information.

By Neilmani S

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Feb 13, 2018

It was one of the amazing Course !!!

By Yang W

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Mar 10, 2016

A very practical course. Like Emily.

By Priyanka J

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Jun 18, 2020

Good work but need more explanation

By Abhinav M

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Apr 1, 2018

Great material to try out ourselves

By Dominik S

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Jun 26, 2017

Very nice. I think I learned a lot.

By Sunny D

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May 3, 2020

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By Shishir S

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May 28, 2017

Good course for the beginners ....

By kulbhushan

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Oct 26, 2016

Very informative and useful course