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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

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

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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1401 - 1425 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Md. R K

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Dec 14, 2018

Awesome course to get started to ML with Python.

By Muhammad N

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Oct 24, 2017

It was an amazing experience. highly recommended

By Ai-Hsin L

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Oct 23, 2017

I did learn the concepts and enjoyed the course.

By Kouassi K J

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Jun 5, 2017

Very practical Machine Learning using GraphLab !

By Valéry V

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Mar 7, 2017

Awesome course ! Loved the case study approach !

By zjy8820

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Dec 19, 2016

The course is wonderful. I learn a lot about ML.

By Nitin K

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Aug 30, 2016

A very exciting introduction to Machine Learning

By VINOJ J H

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Jun 30, 2016

Easy and simple... perfectly explained.

Thank you

By Vitali M

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May 20, 2016

Instructors are presenting this topic very well.

By Jie G

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Jan 12, 2016

Very original and creative approach of training!

By Catalina P

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Dec 23, 2015

Great overview of the power of Machine Learning.

By Raimondas Z

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Nov 17, 2015

Great overview of the field of machine learning.

By MUHAMMAD A

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Feb 12, 2021

i really enjoyed this course, thank you so much

By Anjaneyulu R

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Jan 27, 2021

Very practical and easy to improve my knowledge

By Neel

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Oct 20, 2020

Osm course detail knowledge of machine learning

By yared T

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Oct 13, 2020

It is best and detailed also easy to understand

By Sarthak S

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Mar 22, 2020

This course is the best in this Specialization.

By Sunil B

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Nov 2, 2018

Very detailed and covers the fundamentals well.

By Ling J

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May 15, 2016

这门课程非常适合初级学生入门，对机器学习的概念和特定技术有个初步的了解，类似于科普性质的课程。

By shyam g

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Apr 21, 2016

Outstanding course. Case Study model is awesome

By 冯沙沙

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Apr 21, 2016

我预览了一下，之后前面的第一章有中文字幕，后面的都没有，期待开课以后每节课都有中文字幕，谢谢啦

By LIU Y

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Mar 22, 2016

best of the best, theoretically and practically

By Vasin S (

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Jan 16, 2016

Great introduction to machine learning concept.

By Sarthak K

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Jun 29, 2020

Best Course for Theoretical Applications of ML

By Jesus B R F

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Jun 25, 2020

Great course, with clear examples and practece