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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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1476 - 1500 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By mahmoud r

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Mar 13, 2016

Best thing to get you into machine learning

By Itai H

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Nov 26, 2015

It is a great overview on machine learning!

By Aritri B

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Oct 1, 2023

Was a very insightful learning experience.

By Rishabh K H

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Nov 19, 2020

very useful and the syllabus was fantastic

By Arun H

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Aug 6, 2020

Really good course, excellent explanation.

By Sunil P

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Jun 29, 2020

Worked with more example oriented approach

By Joanna G

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Jun 29, 2020

Very clearly taught course and informative

By HAROON S

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Apr 28, 2020

The Course was great and fully Invormative

By Rostyslav Z

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Apr 12, 2020

Great course! Thank you, Carlos and Emily)

By Zimpi k

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Mar 18, 2020

Loved it! Made what I already knew clearer

By Sachin S

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Nov 12, 2019

The course was awesome! Really loved it :)

By Suyash S

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Sep 10, 2019

Liked the use case example ... really cool

By Jeyanthi T

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Jun 30, 2018

Excellent Lectures and course assignments.

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.