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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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1451 - 1475 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Arkady K

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Jun 15, 2017

Very nice introduction to ML, love graphlab !

By Niraj U

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Nov 2, 2016

It is a solid foundation to Machine learning.

By Anastasiia V

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May 8, 2016

I like it because of excellent practice cases

By Sérgio d B

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Apr 27, 2016

Awesome Specialization course. A great intro.

By Guoquan Z

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Mar 27, 2016

a REALLY interesting course for ML-beginners.

By Richard Y

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Mar 17, 2016

Good introductory course to machine learning.

By Frederick K

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Feb 22, 2016

Loved it, wonderfully prepared and presented.

By Tanmay G

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Feb 21, 2016

Great introduction to machine learning topics

By Lion F P d S

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Dec 16, 2015

Very Good Course. Dato features are fantastic

By Carlos S

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May 27, 2025

Very good course. Very useful and important.

By ASWATHI A B

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Jul 19, 2020

It is very excellent class.i really enjoyed.

By Shwetha K

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Feb 8, 2020

Great course with lots of intuitive examples

By Ujwala M S

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May 31, 2019

Excellent online training and systematic app

By Akshay C L

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Sep 15, 2017

A brilliant way to introduce ML Foundations.

By Gerardo O

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Aug 7, 2016

Great course, I like the practical approach!

By Yongxiang T

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Apr 10, 2016

I like this course, very practical and cool!

By James L

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Feb 1, 2016

Cool intro to machine learning and graphlab.

By Siyuan M

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Oct 23, 2015

Like the toolbox and this case-study pattern

By Shubham D S

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Jul 23, 2020

In this course is very useful for beginners

By Jose E S S

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Jan 13, 2019

Awesome, better course of machine learning.

By Abhishek B

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Dec 16, 2018

Good Machine Learning course for beginners.

By ANIL K S

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Nov 4, 2017

Excellent approach, examples & presentation

By Abhi R

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Apr 19, 2017

Awesome - it is a great introduction to ML!

By Ganghee J

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Dec 2, 2016

Great introduction to the machine learning!

By Mohsen H

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Apr 10, 2016

This course is wonderful. Thanks very much.