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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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1126 - 1150 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Rajeev N

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Apr 30, 2018

Excellent foundation on all aspects, hands on coding exercise is exciting.

By Matthew T

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Dec 30, 2016

Really interesting material thought very enthusiastically. Enjoyed it loads

By Siddharth S

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Aug 16, 2016

Excellent introduction to the promise and applications of Machine Learning.

By Shiva K Y

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Aug 14, 2016

Course is outstanding except it uses a paid library called graphlab create.

By Ranfi J C d A

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Apr 24, 2016

Un curso perfecto para introducirte en el mundo del aprendizaje automático.

By Alexandra P

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Jan 9, 2016

great introduction to machine learning with real world application examples

By Ritish M

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May 5, 2022

extremely helpful course for knowledge perspective and easy to understand.

By SUBBA R D

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Jun 11, 2020

Course contents very nicely framed and especially useful for the beginners

By Hunny S

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May 23, 2020

This is such an amazing course of machine learning I ever had , love it!!

By ZhiZhong C

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Aug 23, 2019

Give me overview of machine learnign and where we can apply the technology

By Nowheer S

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Jul 27, 2019

Good Starting point for freshers who got interest towards Machine Learning

By Veer A S

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Mar 14, 2018

An amazing course to get an understanding of Machine Learning techniques/

By DaeYeong K

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Aug 23, 2017

Great for essential knowleage and do some basic programmings for AI and ML

By Maeva V

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Aug 9, 2016

Very clear and accessible course, great introduction to Machine Learning !

By Deepak M

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Aug 1, 2016

very useful high level overview about key capabilities of machine learning

By 张裕

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Apr 16, 2016

A Great Course.The teachers are funny, and I have a pretty overview of ML.

By Mohammad A K

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Mar 12, 2016

Great one. It is what the name implies! Really enjoy the course very much.

By Jacil B

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Oct 27, 2020

Muy buen curso y fácil de seguir por las explicaciones y ejemplos que dan

By Vinoth S U

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Jun 11, 2020

awesome, its great journey to learn machine learning here thanks coursera

By Hritik K S

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Feb 25, 2019

I learned the understanding that how we approach Machine Learning models.

By Manu S

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Jan 2, 2019

Excellent course. Explained all the ML concepts in detailed and easy way.

By Mohamed E M E

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Feb 21, 2018

Very well course that help beginners to step into Machine Learning field.

By Dhruvil S

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Jan 31, 2018

Nice course if you are not aware about basic Python for machine learning.

By Ayush K G

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Sep 1, 2017

VERY GOOD STRUCTURED COURSE TO UNDERSTAND THE BASICS IF MACHINE LEARNING.

By Harshitha C

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May 1, 2017

A very comprehensive course taught in a very easy and interesting manner!