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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.

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1301 - 1325 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By 藍元宗 ( L

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Oct 17, 2015

Very interesting and informative course. Thanks, teachers.

By Tauhedur R

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Dec 10, 2024

It’s an amazing way to get knowledge of machine learning.

By Steven D

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Mar 19, 2023

Well structured, well presented.

Great introduction to ML!

By Jacob C

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May 26, 2022

Best course I've ever done online. Loved the instructors.

By zixi l

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Feb 27, 2020

Very clear instructions and helpful assignment! Thank you

By Abhishek S

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Jan 10, 2020

instructor was awesome the way that explain was very easy

By Chintamani K

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Sep 14, 2017

Great course to build a solid machine learning foundation

By Sushil B

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Sep 8, 2016

A perfect kick start to your journey on Machine Learning!

By Namit K

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Apr 25, 2016

excellent introduction and practical application domains.

By Rahul J

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Dec 21, 2015

Well planned, Interesting, Logical, Practical Assignments

By Shivam A

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Apr 20, 2021

Good course every should have try these types of courses

By YERRA V

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Sep 13, 2020

its good to understand the lecture and clear explanation

By Jhon C R

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Aug 30, 2020

very interesting topics covered in the course. Thank you

By Jatin V p

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May 9, 2020

excellent teaching skills by both of the professors!!!!

By Akash R

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Apr 13, 2020

Very Interesting and well explained, absolutely loved it

By Shalini G

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Dec 4, 2018

Nice course to understand the basics of Machine Learning

By Le N P

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Jul 16, 2018

thanks instructorsthis is a great course for learning ML

By XIAO N (

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Jul 13, 2018

I like the approach and this is a relatively easy module

By Kiran B M

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Mar 7, 2018

Awesome course with great practical knowledge. Thank you

By James N

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Nov 13, 2017

great introduction to machine learning with fun examples

By Risong N

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Nov 22, 2016

Well organized. Very practical by using iPython Notebook

By Jignesh K

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Aug 29, 2016

This is a great introductory course on Machine Learning.

By Amit P

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Jun 7, 2016

Great Course..Lots to Learn. Thanks to Emily and Carlos.

By K.A R B

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Dec 12, 2015

Good course. In-depth information about machine learning

By Rad C

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Nov 26, 2015

Excellent fast paced ML overview with hands-on exercises