Chevron Left
Back to Machine Learning Foundations: A Case Study Approach

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

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.

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!

Filter by:

1326 - 1350 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Rad C

•

Nov 26, 2015

Excellent fast paced ML overview with hands-on exercises

By chen y

•

Nov 20, 2015

very interesting course for introducing machine learning

By Mohammad D H K

•

Dec 2, 2020

What a way to learn machine learning! Excellent course.

By Dasari N

•

Sep 24, 2020

Very good learning academy

Thank you very much coursera.

By ATHIRAKRISHNA K

•

May 12, 2020

it is a good and effective learning experience for me.

By Nsikan U

•

Mar 22, 2020

Great overview and hands-on introduction to ML concepts

By Fábio M d S P

•

Jun 5, 2019

Awesome course. Good sense of humor, I appreciate that.

By Madan R

•

Feb 11, 2019

Good course, It give motivation for people to learn ML.

By Artem I

•

Jan 8, 2019

awesome course with theoretical and practical knowledge

By Asato T

•

Oct 28, 2018

very good course to learn machine learning foundations.

By Yu-Ting C

•

Jan 23, 2016

Awesome course I have ever learned. Highly recommended.

By Pradosh T

•

Nov 17, 2019

Very helpful content and easy to understand. Thank you

By Isura N

•

Dec 27, 2017

Really Hand on experience I got from every assignments

By sourav r

•

Sep 9, 2017

Best courser for machine learning basic understanding.

By lywhlao

•

Feb 5, 2017

Thanks for this webSite,I will keep going to my dream!

By Adam J R

•

Nov 21, 2016

Excellent instructors made the course very worthwhile.

By Geoffroy B

•

Aug 30, 2016

Very clear and clever presentation of machine learning

By 万一木

•

May 2, 2016

Jupyter is a wonderful tool, and GraphLab is exciting!

By Weihua W

•

Feb 25, 2016

Very good course for introduction of machine learning.

By Pascal U E

•

Feb 22, 2016

Very good course if you want to learn machin learning.

By Hansel D

•

Nov 14, 2015

I consider the course is easy to understand and useful

By Abhishek K

•

Nov 27, 2020

It's an excellent course for our ML career and skills

By Abhishek m

•

Oct 17, 2020

the course was very informative. I loved this course.

By Kumar S

•

Oct 15, 2020

It is excellent course to start with machine learning

By Khaled A

•

Aug 7, 2020

The best machine learning course I have ever attended