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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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1476 - 1500 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

By Alex F

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Nov 18, 2017

Very good introduction to machine learning

By Swatantra P

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Apr 1, 2017

A really awesome course for ML enthusiasts

By Anton

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Feb 19, 2017

This course is good as an introductory one

By Varun R

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Jan 24, 2016

Amazing with the way the course is taught.

By Yoshifumi S

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Jan 23, 2016

Assignments are tough, but so practical !!

By Sergio B S

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Dec 21, 2015

Business Cases. The way to learn. Great!!!

By Venkata D

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Dec 2, 2015

Great Course. Great material and teaching.

By gangan

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Nov 27, 2015

Instructive and impressive, worth to take!

By JANISLAV J P S

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Apr 8, 2021

Muy interesante, es un curso muy práctico

By Fırat Ö

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Dec 23, 2020

It was a very very helpful course. Thanks

By Prakash R

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Jul 10, 2020

Got more knowledge about machine learning

By rishabh

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Jun 30, 2020

it's pretty good and the way they taught.

By vivek

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Jun 21, 2020

really cool course!! Introduces you to ML

By Raj D

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Jan 10, 2020

Intense but at the same time fun learning

By Ashwani K R

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Oct 1, 2019

i was good course and I really learned ML

By adi0229

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Nov 20, 2017

very easy to understand in the first step

By Dhineshlal J

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Jul 2, 2017

Little challenging but you can get there.

By 杨铭宇

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Jul 1, 2017

A so good course with so lovely teathers.

By Ramona V

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Jun 23, 2017

Was very engaging and good for a beginner

By fatma g

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Jan 24, 2017

thank you very much for your huge efforts

By faiq a f

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Sep 13, 2016

It was a great course for the intrduction

By Job W

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May 4, 2016

Great introduction into Machine Learning.

By YH H

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Feb 20, 2016

A good introduction course for beginners!

By Pavlo K

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Dec 24, 2015

Great introduction into Machine Learning!

By Rohit L

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Jan 12, 2022

The structure of the course is very good