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Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

4.6
stars
13,531 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

MK

Jul 20, 2019

A great course, really designed to understand the underlying core concepts of machine learning using real-life examples which takes you through all that with little to no programming skills required!

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

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1576 - 1600 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Aswin M

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Jun 30, 2019

Very good basics for Machine Learning

By Jens K

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May 13, 2018

Very good intro into the foundations.

By anqi c

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Aug 28, 2017

Great course for entry level students

By Srinath.V

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Jun 8, 2017

Awesome Course!!! Carlos was great!!!

By Rohit y

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Jan 29, 2017

Awesome course and awesome professors

By Hank W

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Jan 28, 2017

This course is absolutely incredible.

By Drew F

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Jan 2, 2017

Challenging to just the right degree!

By Bartosz K

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Dec 16, 2016

Great course and instructors! Thanks!

By paul d b

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Jan 19, 2016

this course is one of the best course

By Etienne V

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Jan 17, 2016

Very good course and very insightful!

By Divyank M

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Jul 23, 2021

This course is filled with knowledge

By Rajesh K V

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Jun 15, 2018

Excellent course on machine learning

By LAKSHMI D A

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Aug 25, 2017

Nice Course To get an Hands On Idea!

By Yao-Lun S

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May 24, 2017

Very great and comprehensive course!

By Sarn

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Dec 5, 2015

Excellent intro to Machine Learning.

By Sayu N S

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Sep 29, 2020

It was really good and informative.

By houchangxi@hotmail.com

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Oct 4, 2019

非常值得学习的课程，实用的项目讲解，虽然练习题过于简单，但是内容非常棒

By Justinas S

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Oct 26, 2018

Interesting course, it's our future

By Marco A

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Aug 4, 2017

Muito interessante e bem formatado.

By 陶淳

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Dec 3, 2016

great lesson with great professions

By Harshit S

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Oct 23, 2016

Very informative course! Go for it.

By Juan A P G

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May 2, 2016

Great great awesome amazing course!

By Kishwar K

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Feb 6, 2016

Highly recommended. Perfect Course.

By Kiran B

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Jan 6, 2016

One of the best courses on coursera

By Luo T

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Dec 4, 2015

Superb organised! Very interesting!