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

4.6
stars
13,527 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

SZ

Dec 19, 2016

Great course! Emily and Carlos teach this class in a very interest way. They try to let student understand machine learning by some case study. That worked well on me. I like this course very much.

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1376 - 1400 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By First N R L N R

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Feb 9, 2016

Great for beginners with background in programming!

By Jeyaprabu J

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Feb 2, 2016

Application oriented approach...easy to catch up!!!

By Popovics L

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Dec 5, 2015

Excellent course, with very handy programming tasks

By Sheraz N

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Nov 10, 2015

Excellent approach to motivate for Machine learning

By Anmol J

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Nov 15, 2021

it was very good course i have learned many things

By Opas S

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Nov 8, 2020

Great course very good introduction from beginning

By Humna N

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May 24, 2020

it's amazing and made my hands on machine learning

By Murugesh M

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Oct 12, 2019

Awesome course will maximum practical applications

By John G

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May 28, 2018

Well presented, good level of detail and challenge

By Jonathan C

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Oct 26, 2017

learned some really amazing things in this course!

By JeongEuiDong

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Oct 16, 2017

It was awesome

I can learn python& machine Learning

By Nihal T

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Jun 27, 2017

Great course to get started in machine learning...

By xiling z

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Mar 26, 2017

Very nice class. Well designed quiz and assignment

By Pelletier M

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Jan 31, 2017

Great course and best wishes for Carlos and Emily!

By Theodore T

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Jan 23, 2017

Very diverse applications and well thought through

By Oleksandr K

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Jan 26, 2016

Nice practical course for ML-beginners such as me!

By Parag S 2

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Aug 4, 2021

The course was really very helpful. very detailed

By G S Y D

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Aug 24, 2020

excellent and explained with real world scenario.

By Sanjeev G

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Jun 8, 2020

Learning Machine Language is very good experience

By Rohit K T

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Apr 20, 2020

python version is old but good stuffs are covered

By Tanachote R

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Jan 30, 2020

Good style of teaching and modeling is very clear

By Deleted A

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Jul 24, 2019

This course helps me understand Machine Learning!

By Vibhutesh K S

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May 19, 2019

this is indeed the best course introductory here.

By Vinit J

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Mar 3, 2018

It was great experience to go through the course.

By Lumo W

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Oct 8, 2017

A very good view of the field of machine learning