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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

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.

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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976 - 1000 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Muhammad A k

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Nov 7, 2017

Amazing Course. Great insight to the concepts of Machine learning, specially for beginners.

By Siddharth P

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Nov 1, 2017

Excellent course. The quality is top class. Professors are awesome. Enjoyed thoroughly !!!

By Harish k

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Apr 8, 2017

It was an excellent thorough course with practical sessions using python. It was awesome ..

By Alex B

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Jan 2, 2017

Great mixture of theory and practice. Really enjoyed working through the IPython notebooks!

By Santosh G

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Jun 9, 2016

The course is Awesome. I really liked the case study approach and the instructors are cool.

By Maria d L B C

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Mar 19, 2021

Es un gran reto esta capacitación, pero es fácil entenderla y te van guiando en el proceso

By Anirudh G

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Mar 23, 2017

Excellent course, which gives a hands-on overview of all the recent algorithms being used.

By Lixin L

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Feb 25, 2017

awesome lessons!!! easy to get on hand and every piece of ML is crystal clearly explained.

By Perumal R S

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Jan 28, 2017

great introduction to basics of machine learning concepts with hands on programs.Loved it.

By g

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Jul 28, 2016

Interesting and useful course, give you an overview of current machine learning technique.

By Yan Y

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Apr 11, 2016

I think it's too simple but not clear in the deep learning part, especially the subtitles!

By Daniel Z

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Mar 8, 2016

This course is a piece of work. It is really impressive the cases study approach presented

By Zeno S

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Jan 21, 2016

Great approach, very usefull metods. I'm really exited on doing the more specific courses.

By Mao D

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Dec 4, 2015

very nice course to have, hope they can provide sample code for homework after submission.

By Prasad V

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Sep 26, 2015

Very well designed course and the specialization. Plus the effort by Dato team is awesome.

By Subramanyam R

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Apr 25, 2020

This course is very interesting and i hope so many topics are covered in machine learning

By Syed T S

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Apr 18, 2020

A very unique course which totally focuses on practical applications of machine learning.

By David R R

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Jul 10, 2017

I think it is a quite interesting and helpful introduction to the rest of the ML modules!

By KUMAR K

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Oct 30, 2016

A wonderful foundation course on Machine Learning to understand its various facets... !!!

By Dariusz B

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Feb 7, 2016

I liked it a lot. 1 remark: Some questions in quizzes were not clear 100% in my opinion.

By Lesly

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Jan 15, 2016

Superb course - Anyone can easily learn. Case study approach is the right way to learn ML

By Meghana S

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Dec 13, 2023

The videos explaining the concepts were crystal clear. The assignments were interesting.

By Noor A K

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Jun 26, 2020

Sorry I didn't knew that prior knowledge is required. so i started learning python first

By 邵典

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Mar 23, 2020

teachers are very good. cases are interesting! i learn a lot from the course, Recommend!

By Yuhuan Z

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Jan 30, 2020

Very good introduction to machine learning theory. The content is also very interesting.