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
13,527 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

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.

Filter by:

1526 - 1550 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Raghav M

•

Jan 23, 2017

The Deep Learning Module can be improved

By 董浩

•

Dec 4, 2016

I very excited for this class, thanks!!!

By Luis E T N

•

Nov 21, 2016

Ótimos instrutores e material. Parabéns!

By Léo B

•

Apr 16, 2016

AWESOME course! Thanks Carlos and Emily!

By Aurelije Z

•

Mar 6, 2016

great course - i really like it.

Aurelije

By 江智彬

•

Feb 27, 2016

The tool, Graphlab Create is very nice ！

By krati c

•

Dec 19, 2015

Very nice course for introduction to ML.

By Puneet S

•

Dec 16, 2015

A good introduction to machine learning.

By Pranas B

•

Dec 8, 2015

The best ML/Data Analysis course so far.

By Aaryan T

•

Oct 22, 2020

Helped out a lot in grasping the basics

By Adarsh K

•

Sep 20, 2020

Was a Good experience to learn this one

By Manish A J

•

Aug 30, 2020

Very well design to kick start ML study

By SUTANUKA N

•

Jul 27, 2020

the course is well detailed and amazing

By SENTHIL N S P

•

Sep 30, 2019

Excellent course and recommend everyone

By Rajlakshmi K

•

Apr 7, 2018

Great material, good contents...encoura

By Mohammed A S

•

Mar 18, 2018

All the concepts were nicely explained.

By Mark h

•

Jul 7, 2017

very helpful for a totally new learner

By Mohammad P

•

Mar 8, 2017

Exceptional, my best course in Coursera

By Pablo F

•

Oct 12, 2016

Really good intro for Machine Learning!

By Hari S

•

Sep 25, 2016

Loved the course. Hope to do more soon.

By Gourab N

•

Sep 7, 2016

Wonderful course! Excellently explained

By Kerry J

•

Aug 25, 2016

Great introduction to machine learning.

By Yasovardhan R

•

Apr 30, 2016

Good Course to start with ML Techniques

By Karundeep Y

•

Feb 9, 2016

What a course it is?

Totally thrilled...

By Yegwende V T

•

Feb 8, 2016

Great introduction to Machine Learning.