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:

1601 - 1625 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Rohan S

•

Jul 21, 2020

Excellent Course For ML Beginners.

By Omran A S S A R

•

Jun 4, 2020

Loved the course. Very insightful.

By S M A J

•

Apr 29, 2020

Greate course for machine learning

By Partheepan

•

Apr 17, 2020

Usecases are very useful to learn.

By Saad A

•

Oct 24, 2019

thank you, one of the best course

By Jerome Z

•

Apr 21, 2018

Very Great machine learning Class!

By Shubhanshu S

•

Dec 26, 2017

Very basic and informative course

By Dame N

•

Oct 31, 2017

What a great course! Wonderfull...

By Zijiao Y

•

Jun 24, 2017

pretty cool class for beginners :)

By jesus h a

•

Jun 21, 2017

Good and fun way to learn about ML

By m i

•

Sep 2, 2016

wonderful.........................

By 金禄旸

•

Jan 8, 2016

A good course focused on practise.

By Kyrylo S

•

Dec 28, 2015

Excellent presentation of material

By Kiên T

•

Mar 11, 2024

The useful overview for the start

By Joseph S

•

Jun 30, 2021

The most satisfying course so far

By Keyur M

•

Jun 2, 2020

A very good course to starting ML

By Rohit A

•

Jun 1, 2020

this is very use full for learing

By Koutaiba O A

•

May 21, 2020

I liked the content of the course

By NAGARJUNA T

•

Apr 28, 2020

Am so Happy to learnt this course

By Smrithi P P

•

Apr 18, 2020

This course helped me lot. Worthy

By Jithesh R

•

Nov 30, 2018

Great Experience...! Loved it...!

By Pritesh G

•

Jul 20, 2018

Good material. Enjoy the Course.

By Rishab R

•

Apr 21, 2018

Very well presented and organised

By George P

•

Jul 20, 2017

Very good and smooth introduction

By Mai T

•

May 17, 2016

Very easy to follow and enjoyable