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Learner Reviews & Feedback for Machine Learning Foundations: A Case Study Approach by University of Washington

4.6
9,116 ratings
2,175 reviews

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

SZ

Dec 20, 2016

Great course!\n\nEmily 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.

PM

Aug 19, 2019

The course was well designed and delivered by all the trainers with the help of case study and great examples.\n\nThe forums and discussions were really useful and helpful while doing the assignments.

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76 - 100 of 2,093 Reviews for Machine Learning Foundations: A Case Study Approach

By Manu S

Jan 02, 2019

Excellent course. Explained all the ML concepts in detailed and easy way.

By OLZHAS S

Feb 16, 2019

Feeling still long way to go, at least took very serious track - with challenging assignments and re-learning required tasks!

By Jonathan K

Jan 22, 2019

Very nice, will continue with the rest of the specialisation

By Sanjeev k

Jan 24, 2019

I

By Amogh B

Feb 22, 2019

Its really wonderful course to get the familiarise with the basics of Machine Learning

By Aldo V M

Feb 25, 2019

Excellent course Carlos & Emily! I enjoyed your lectures a lot, ML is complex but you guys found the way to deliver the message clear, easy and in a funny way. Using real world examples was amazing. Guys could you let me know which other courses you are teaching? Ill be glad to continue learning from you guys. Many thanks, obrigado amigos.

By Abbas S

Mar 01, 2019

wonderful learning experience

By Chandan K M

Feb 27, 2019

well crafted course.

By Sharad J

Mar 23, 2019

The ML concept is explained with use cases and demonstrated with python programs which

By Erick V

Mar 02, 2019

Excelente curso, te da una visión general de todo lo que puedes hacer en ML

By YASHKUMAR R T

Mar 24, 2019

Best course to understand all the fundamentals of machine learning for beginners.

By Arif A

Mar 25, 2019

I have a fairly good background in mathematics and have read through major parts of the Deep Learning Textbook by Goodfellow et. al. One year later I wanted to revise ML again. People who are complaining that there is no mathematical or algorithmic rigor in this course need to understand that this is meant to be an introductory course in order to pique interest in the learner and drive him/her to pursue this field further. Heavy focus on math and algorithms straightaway does not work for most people. Hence, I conclude that this is a good intro course which does it's job quite well.

By Ganesh K

Feb 10, 2019

Learning things with good use cases always lot better. This course really helped a lot to understand machine learning clearly. Throughout this course the explanation of the concepts are so clear and assessments are so intuitive.

By Madan R

Feb 12, 2019

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

By Aleksander S

Feb 01, 2019

This is a great course. The content is delivered at a very good pace even for people with little prior knowledge of statistics or computer science — not too fast (would be too difficult) and not too slow (could become boring). Additionally, the assignment model is perfect — it requires completing hands-on exercises, but then the solution is assessed using simple quizzes. Thanks to that the answers and the grades are immediately available.

By DIVYANSH S

Feb 03, 2019

EXCELLENT

By Noam K

Apr 02, 2019

Nice overview, the case study approach is very useful as well as the actual python notebook assignments.

By shubham k

Apr 08, 2019

this was really learning

By Kunal G

Apr 10, 2019

it is a very good course if you are a newbie in this area and only know a bit of python, just be careful not to use graphlab, use turicreate instead

By Chao L

Mar 04, 2019

It is good class for people want to ML and start from scratch

By Lahiru H P

Mar 04, 2019

great course content to get started with machine learning and also for deep learning.

By Mohit C

Mar 05, 2019

The idea on the teaching method by taking case study was a great choice. Great work keep it up.

By Akash G

Mar 08, 2019

START basic like star

By Muhammad A N

Dec 06, 2018

Excellent

By Rania B

Jan 06, 2019

I had to use TuriCreate instead of GraphLab, so other than the changes in the libraries that had me guessing which function to use, everything in this course is well structured and concrete. Thank you all!