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

4.6
stars
13,374 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

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.

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

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651 - 675 of 3,115 Reviews for Machine Learning Foundations: A Case Study Approach

By Stefan D

Sep 7, 2016

Great start when you want to get an overview about machine learning. They work a lot with examples that help to understand all mathematics behind it.

By Taavi K

Mar 16, 2016

Great examples. This course would be suitable for someone who just wants a quick overview, even if they don't plan on doing the whole specialization.

By Kunal K

Jun 22, 2020

The course was amazing. I especially like the way both the instructors are teaching. It was a lot of fun going through the course. Tanks a lot guys.

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 Daniel P

Feb 14, 2018

Very good presentation and explanations! It's a perfect course to take if you're a beginner or want to refresh basic notions about machine learning.

By Evaldas B

Nov 3, 2017

Great basics but a shame that python2 is still used in the course. Also graphlab is not the latest thing in the market. But overal very good course

By Thibault S

Oct 5, 2016

Ce cours était passionnant. Les professeurs sont pédagogues et amusants. J'ai appris beaucoup de chose à un rythme qui correspondait à mes attentes.

By ABHINAND J P

Jul 31, 2020

Awesome course with real life application. Really appreciate the way the tutors have given a perception about the practicality of machine learning.

By Jesus B P

Nov 8, 2019

Great approach with introduction to the thoery behind the models and easy to understand cases. Looking forward to continue with the specialisation.

By Josué R S R G

May 3, 2019

This course is a really good introduction to machine learning. I like this case study approach. The context makes the content easier to understand.

By P S K G

Aug 25, 2020

I have learnt basic ML algorithms, How they perform with given data. Very helpful has a beginner to me.

Thank you for providing this great course.

By Tairan Y

Mar 26, 2020

A good approach to understand some basic machine learning methods as well as learn the fundamental Python practices. A good starting point for DS.

By Ashwin R

Jul 10, 2019

The instructors are just amazing. The way they taught, I never felt as if I was taking the course online. Simply Hats off. And of course Thank You

By Sathiraju E

Oct 2, 2018

A very well organised course with short videos explaining concepts and also giving a hands-on feel.

Thank you Carlos and Emily. Thank you Coursera.

By Artem K

May 9, 2016

Very good course.

Lots of hands on experience in Python. Clear explanations. Interesting real-world problems on real-world data.

Highly recommended.

By Nataliia M

Dec 11, 2022

THANKS!

Amazing experience! Great course! So heartful teachers!

It was not easy, but I can evident see, I will use all those knowledge in practice!

By Badrish A

Sep 26, 2017

Course teaches fundamentals of Ml without intimidating the learner. Key differentiator is case study based approach with just sufficient theory

By Egor K

Apr 19, 2017

A very good course for someone who want to enter the world of machine learning. makes perfect order in all the terminology and different methods.

By Tejas N P

Nov 15, 2016

The itself to sum up all that is going to happen in the specialization in the first course was awesome and you guys did it with too much coolness

By Himanshu P S

Dec 15, 2017

Brilliant course! Very hands on. Loved the way how this course bridges the gap between the ML algorithms and their application in the real life.

By Mark W

Aug 12, 2017

Excellent course. Emily and Carlos are fantastic teachers and have clearly put in a huge amount of effort in makign a great course. Thanks guys!

By Eddie C J

Feb 3, 2016

Very good introduction as to what machine learning is. Thank you the subject of Machine learning was a complete mystery to me before this class.

By Karthik K N

Feb 10, 2022

Great course and I understood each and every concept clearly in detail with hands on experience on the concepts that were thought. Thanks a lot

By rajinder s s

Jan 13, 2018

This is the best course I have done on coursera. Simple to the point, no too much theory, at the same time lot of exercises and hands on stuff.

By 李紹弘

Jun 28, 2017

This course provides clear concepts about machine learning. I am fully benefited from the course. Thanks for the enthusiasm from the lecturers.