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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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1376 - 1400 of 3,140 Reviews for Machine Learning Foundations: A Case Study Approach

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

By Tariq H

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Sep 10, 2017

A structured course on basics of machine learning

By Blaine T

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Jul 30, 2017

Very good lectures, good pace, engaging lecturers

By Qiongge L

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Dec 16, 2016

This is an extremely practical and useful course!

By Shantanu K

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Aug 26, 2016

Really good learning path. well chalked out couse

By Rui W

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Jun 8, 2016

A good guide to practice machine learning system.

By John L

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Mar 27, 2016

good course for data scientist, learn a lot in it

By Anurag K

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Aug 25, 2020

Best Course to get started with Machine Learning

By SOURAV D S

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Aug 5, 2020

Best course i have ever done of machine learning

By Eugene P

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Jun 12, 2020

Great foundational concepts of machine learning.

By Will

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Apr 23, 2020

教學詳細，而且題材實用且有趣。缺點是教學影片有點陳舊，用的方式和實際操作上有出入，但是瑕不掩瑜。