Chevron Left
Back to Machine Learning Foundations: A Case Study Approach

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

4.6
stars
12,849 ratings
3,061 reviews

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.\n\nThe forums and discussions were really useful and helpful while doing the assignments.

Filter by:

2951 - 2975 of 2,983 Reviews for Machine Learning Foundations: A Case Study Approach

By Santosh K

Nov 14, 2021

Uses Outdated graphlab. Very difficult to follow the instructions. Tried using the turicreate but its very problematic. The courses should ease of use tools rather than something outdated.

By Kyle D

Jul 9, 2020

The software was so difficult to install. It did not seem worth it to learn a completely new way. Unfortunately, I dropped it because the case study approach looked interesting.

By Ruth P

Aug 20, 2021

Couldn't even get started. Very disappointed that the links to the software required are so out of date and there is no help. Want to un-enroll but can't do that either.

By Sahil K

Nov 24, 2020

Software installation was a big trouble and took nearly month as this course was in graphlab, but we need to use turicreate or other toolset.

By Harry W

Jan 6, 2022

You'll spend more time trying to get the correct versions and plugins working than you will studying. The course needs updating.

By Konstantinos V

Nov 3, 2021

Started this course with great enthusiasm but end up with frustration on being unable to install Turi Create with python 3.10.

By Bharath K V

Dec 13, 2021

The course is very very confusing. Old material without updating to the latest format. No clear instructions. Half baked.

By Muhammad A A J

Jul 12, 2021

This course is very old and waste of time because libraries used in here are not available for new versions of python.

By Kunal

Sep 22, 2020

its very very hard to setup jupyter notebbok and installing turicreate ,also takes a lot of efffort in practical quiz

By Marius M

Jul 8, 2020

Unable to install turicreate. No troubleshooting instructions, only a link to a blog post that offers little help.

By Florea G A

Oct 11, 2020

Turicreate installation is a hot stone. for that reason I'm not going to pursue this specialization.

By Bowen S

Nov 25, 2021

poorly structed with questions & answers

the packages used for the course has been out dated

By Anoop B

Dec 2, 2020

Terrible course. Poor presentation, unnecessary talks, clumsy video and outdated content.

By andrew r

Nov 25, 2020

A waste of time trying to setup an obsolete environment that is no longer supported.

By Kailash H S N

Aug 25, 2021

very bad , theyuse SF frames which is not in use now ..very hard to do the quiz

By Sudheesh R S

Jul 11, 2020

No proper directions as to how to work on libraries to be installed.

By Arpit S

May 22, 2020

Improve the quality of quizes. Need to focus more on algorithm part.

By Pratick B

Aug 8, 2021

I​nstallation of Sforce and turi was not shown adequately enough.

By Mohamed M

Sep 28, 2021

import turicreate is hard to install and class based on it

By Eunyoung C

Aug 29, 2020

This course could be better to use general python library.

By Christian C

Jun 5, 2021

El curso es bueno pero esta completamente desactualizado

By Sunita b l

Jul 4, 2020

Provide the good notes and video so all concept clear.

By Melissa F

Aug 2, 2021

cannot get the tools installed to do any of the work.

By Nguyen K D

Jun 18, 2020

Coursera Scam Auto Subcription. Free Fuckers

By Jeni

Apr 17, 2020

Instructional videos were unclear.