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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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976 - 1000 of 3,156 Reviews for Machine Learning Foundations: A Case Study Approach

By Lagadic A

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Nov 24, 2019

Great course to get a big picture of what machine learning is, what the models involved are.

By Ashutosh R C

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Mar 24, 2018

good course for a beginner. I am already getting some amazing ideas on some practical usage.

By Ravi c

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Sep 16, 2017

Amazing Course...This course will set a very strong foundation for your data science career.

By Simon F

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Aug 8, 2017

Great overview over use cases in regression, classification and product recommender systems.

By Cheng Z

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Aug 6, 2017

The courses are really great for any starter to understand the fundamental knowledge of ML.

By C. G F

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Jan 11, 2017

General introduction to machine learning approaches and their application in real scenarios.

By Raymond C

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Oct 16, 2016

Solid overview of the various ML techniques without getting too far into the math behind it.

By Akshaya P K

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Mar 11, 2016

This course was perfect for me. learnt a lot about ML and got introduced to an awesome tool.

By OG

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Dec 28, 2015

Great overview with some implementations of what will be covered through the specialization.

By Muhammad A k

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Nov 7, 2017

Amazing Course. Great insight to the concepts of Machine learning, specially for beginners.

By Siddharth P

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Nov 1, 2017

Excellent course. The quality is top class. Professors are awesome. Enjoyed thoroughly !!!

By Harish k

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Apr 8, 2017

It was an excellent thorough course with practical sessions using python. It was awesome ..

By Alex B

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Jan 2, 2017

Great mixture of theory and practice. Really enjoyed working through the IPython notebooks!

By Santosh G

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Jun 9, 2016

The course is Awesome. I really liked the case study approach and the instructors are cool.

By Maria d L B C

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Mar 19, 2021

Es un gran reto esta capacitación, pero es fácil entenderla y te van guiando en el proceso

By Anirudh G

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Mar 23, 2017

Excellent course, which gives a hands-on overview of all the recent algorithms being used.

By Lixin L

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Feb 25, 2017

awesome lessons!!! easy to get on hand and every piece of ML is crystal clearly explained.

By Perumal R S

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Jan 28, 2017

great introduction to basics of machine learning concepts with hands on programs.Loved it.

By g

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Jul 28, 2016

Interesting and useful course, give you an overview of current machine learning technique.

By Yan Y

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Apr 11, 2016

I think it's too simple but not clear in the deep learning part, especially the subtitles!

By Daniel Z

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Mar 8, 2016

This course is a piece of work. It is really impressive the cases study approach presented

By Zeno S

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Jan 21, 2016

Great approach, very usefull metods. I'm really exited on doing the more specific courses.

By Mao D

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Dec 4, 2015

very nice course to have, hope they can provide sample code for homework after submission.

By Prasad V

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Sep 26, 2015

Very well designed course and the specialization. Plus the effort by Dato team is awesome.

By Subramanyam R

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Apr 25, 2020

This course is very interesting and i hope so many topics are covered in machine learning