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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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1351 - 1375 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By MOONKOO K

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Dec 20, 2017

I have learned machine learning & Python Programming

By Ben W

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Jan 19, 2017

Not easy...but that's what makes it worth it, right?

By Clare H

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Dec 27, 2016

A nice survey of various topics in Machine Learning!

By Samriddh K

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Jun 15, 2016

It is a good introductory course to machine learning

By Sai K G

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Mar 14, 2016

Good course which includes hands on training as well

By Akash G

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Nov 22, 2021

Gives basic understanding of each and every topic.

By THANUJ R

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Sep 17, 2020

its awesome thanks for trainers and thanks coursera

By Nikhil t

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Jun 22, 2020

Best course for interested student in every courses

By Kazi S S I

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Apr 9, 2020

Great. THanks for new tutorial. Good for real life.

By Pedro L R G

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Mar 14, 2020

Amazing course and amazing teachers. Thank you all!

By PRASHANTH B

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Jan 3, 2020

Great introductory course on different ML concepts.

By Sameh E

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Jan 19, 2019

very good and very nice course, it added lots to me

By Mattheus d k

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Jun 13, 2018

Brilliant course with the best imaginable teachers!

By Jonathan H

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Jul 1, 2017

Emily and Carlos are great! Excellent intro course!

By THARANGINI S

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Jan 3, 2017

Great foundation course detailing key aspects of ML

By First N R L N R

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Feb 9, 2016

Great for beginners with background in programming!

By Jeyaprabu

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Feb 2, 2016

Application oriented approach...easy to catch up!!!

By Popovics L

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Dec 5, 2015

Excellent course, with very handy programming tasks

By Sheraz N

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Nov 10, 2015

Excellent approach to motivate for Machine learning

By Anmol J

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Nov 15, 2021

it was very good course i have learned many things

By Opas S

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Nov 8, 2020

Great course very good introduction from beginning

By Humna N

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May 24, 2020

it's amazing and made my hands on machine learning

By Murugesh M

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Oct 12, 2019

Awesome course will maximum practical applications

By John G

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May 28, 2018

Well presented, good level of detail and challenge

By Jonathan C

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Oct 26, 2017

learned some really amazing things in this course!