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
13,532 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

DP

Feb 14, 2016

With a funny and welcoming look and feel, this course introduces machine learning through a hands-on approach, that enables the student to properly understand what ML is all about. Very nicely done!

AH

Mar 27, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

Filter by:

2051 - 2075 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

By Rahul D

•

Sep 21, 2020

wonderful

By RANAN P

•

Sep 21, 2020

Excellent

By miguel s

•

Sep 20, 2020

very well

By Vaibhav K

•

Sep 19, 2020

excelient

By Karim H

•

Sep 18, 2020

excellent

By PAWAN S

•

Sep 16, 2020

excellent

By KOUSHIK S

•

Sep 15, 2020

Excellent

By SOURAV K

•

Sep 13, 2020

Excellent

By Amruta C

•

Sep 9, 2020

Excellent

By Devika N

•

Sep 6, 2020

Excellent

By Neha K

•

Sep 1, 2020

EXCELLENT

By YASA S K R

•

Aug 31, 2020

excellent

By Édney M V F

•

Aug 17, 2020

very good

By Anitha V

•

Aug 15, 2020

EXCELLENT

By SASI V T

•

Aug 15, 2020

EXCELLENT

By SHRESTHANGSHU B

•

Aug 5, 2020

Excellent

By Subhadip P

•

Aug 4, 2020

excellent

By Bhanu P S

•

Jul 29, 2020

excellent

By DEEP K S

•

Jul 26, 2020

very good

By Majd A

•

Jul 23, 2020

thank you

By ANKAN M

•

Jul 17, 2020

Excellent

By Izaz A K

•

Jul 17, 2020

Thank You

By Amrita B

•

Jul 14, 2020

excellent

By Akash s

•

Jul 8, 2020

excellent

By Niteesh K

•

Jul 5, 2020

excellent