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
13,494 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

SZ

Dec 20, 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.

BL

Oct 17, 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

Filter by:

1426 - 1450 of 3,144 Reviews for Machine Learning Foundations: A Case Study Approach

By LIU Y

•

Mar 22, 2016

best of the best, theoretically and practically

By Vasin S (

•

Jan 16, 2016

Great introduction to machine learning concept.

By Sarthak K

•

Jun 29, 2020

Best Course for Theoretical Applications of ML

By Jesus B R F

•

Jun 26, 2020

Great course, with clear examples and practece

By Biao H

•

Sep 9, 2019

The assignment is well-organized and designed.

By Sidharthan R

•

Sep 6, 2017

Learning process is very good, well explained.

By Ted T

•

May 5, 2017

I love practical case study approach!!! Great!

By Satrajit P

•

Mar 25, 2017

Excellent coverage of the underlying concepts.

By Anoop N

•

Nov 12, 2016

Simply awesome. Well crafted for beginners :-)

By Rob B

•

Oct 25, 2016

Improved my insight to machine learning a lot.

By Miao J

•

Mar 28, 2016

Great opening course for new machine learners!

By Serbiniyaz A

•

Mar 4, 2016

I've got very good survey on machine learning!

By dragonet

•

Oct 20, 2015

thanks for sharing this class, i learned alot.

By Bilal M

•

Aug 15, 2023

good with case studies and hand-on experience

By PRADYUMN K

•

Mar 26, 2021

EXCELLENT! I HAVE ENJOY TO LEARN THIS COURSE!

By Muskan S

•

May 29, 2020

Amazing course. Really helpful for beginners.

By Leonardo D

•

Sep 1, 2018

Well thought methods for modern data analysis

By Arkady K

•

Jun 16, 2017

Very nice introduction to ML, love graphlab !

By Niraj U

•

Nov 3, 2016

It is a solid foundation to Machine learning.

By Anastasiia V

•

May 8, 2016

I like it because of excellent practice cases

By Sérgio d B

•

Apr 27, 2016

Awesome Specialization course. A great intro.

By Guoquan Z

•

Mar 28, 2016

a REALLY interesting course for ML-beginners.

By Richard Y

•

Mar 17, 2016

Good introductory course to machine learning.

By Frederick K

•

Feb 22, 2016

Loved it, wonderfully prepared and presented.

By Tanmay G

•

Feb 21, 2016

Great introduction to machine learning topics