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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

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.

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.

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2551 - 2575 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Maen A

Jul 18, 2019

The course content is great, it would be even better if the assignment were a bit more challenging rather than following instructions.

By Marcello G

Dec 1, 2015

It'd be 5/5 if it used scikit-learn, instead of proprietary software (albeit with 1yr free to use license for non-commercial purposes)

By NOUREL H M

Sep 9, 2023

c'est un bon cours y a un petit problème concernant la partie code la bib Turicreate j'arrive pas a l'implémenter sur mon pc Windows.

By Oliver K

Jun 3, 2018

this is a good first introductory course on various machine learning algorithms. Helped me a lot to understand the basic principles.

By William P

Apr 22, 2016

Installation of the recommended toolkit is tricky and very expensive if perused non-academically.

Content is clear and well presented.

By James C

Jun 29, 2016

Good primer to Machine Learning - uses real world examples to introduce different machine learning concepts in an interesting way.

By Gello M V

Jan 3, 2016

Interesting! The lecturers were good. Though sometimes, things get boring. But overall, the subject and the quizzes were exciting!

By fetty f

Feb 19, 2016

This course is very fun especially the lecturers. Beside that, all the topics have contextual sample that very easy to understand

By Balasubramanya S

Aug 25, 2018

Good course for understanding basics about ML, it will be good for professionals to start same course with Open source libraries

By Ching C H J

May 20, 2018

Lots of problem with graphlab installation.... and turicreate is not supporting all the functions the same way as graphlab does.

By Ahmed N

Feb 24, 2017

This course is very important for me and i really learned many things of machine learning concepts and its important study case.

By Sylvia L

Apr 10, 2016

Very practical and the contents are good. But the quizzes are just too simple and the analysis on the cases are not deep enough.

By yehoshua c

Jan 6, 2016

I really liked the enthusiastic lecturers and the "easy" to learn approach. with that the exercises were easy and meaningful :)

By Sheng-Qi S

Oct 30, 2016

课程不是很难,没有怎么涉及详细算法的实现,我是学完Stanford的ML过来的,所以感觉UW的有点像开胃菜,不过这门课介绍了ML的一些概念,并且介绍了Jupyter Notebook这个强大的工具。总之,不虚此行,感谢UW!Thank you UW !

By Vaidas A

Sep 14, 2016

Very basic overview using GraphLab Create to emphasize intuition - if you are familiar with ML concepts might be a bit boring.

By Ben K

Feb 22, 2016

A good course, but I found the programming exercises fairly underwhelming. It is just an overview course, so it is what it is.

By Fabio V

Feb 6, 2016

Real life applications....thrust them till the end (even if I'm not comfortable learning from such good but branded teachers)

By NIKHIL M

Aug 16, 2020

Very interesting Course , I have learned much more about machine learning.

Thank you coursera for this informative knowledge.

By Andres G

Apr 9, 2016

I wish they would rely in something else than a proprietary package for the course.... but besides that it's a great course.

By usman i d

Feb 4, 2020

the Content was good,Instructor well explain. but at some point they need more explanation related to assignments and quize

By Steven K

Aug 20, 2017

Takes a very soft approach, at least to start with (a little slow). Uses closed source tooling, so that might not be ideal.

By Vladislav V

Mar 27, 2016

The course is very simple so far. Hope it's just because it's the first one in the specialization. Love the teaching style.

By Cameron M

May 30, 2018

Good tips. A little bit of hand-holding, however, nice starter course and good introduction to a broad range of concepts.

By Khushboo K

Apr 21, 2021

Good course for newbies, but hoping the coding used sklearn and other tools that are more useful in real life situations.

By hamid k

Nov 26, 2019

Great course. Hope to see and update on using the libraries and facilitate the learning process for the students. Thanks,