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

4.6
stars
13,375 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

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

SZ

Dec 19, 2016

Great course!

Emily 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.

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701 - 725 of 3,115 Reviews for Machine Learning Foundations: A Case Study Approach

By Pablo A

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Jan 17, 2016

I enjoyed the course very much!! I think the instructors are great and the method used for teaching is engaging and challenging. Congrats.

By Divyang S

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Sep 12, 2020

Excellent course with a lot of practical examples. The only thing which makes it a bit hard is lack of adequate guidance in assignments..

By Priyanka D

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Dec 16, 2019

The course is very insightful and brilliantly covers all the basics of different techniques in an easy to understand and engaging manner.

By Cyril M

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Jun 4, 2019

The Machine Learning Foundations: A Case Study Approach course is very good. It's help me to good to learn Machine Learning Foundations.

By Deleted A

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Aug 9, 2019

SFrame is problematic on newer versions of python so it may be a bit better to show the equivalent code in different libraries somewhere

By Luís G M d S

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Oct 17, 2015

Pretty nice introduction! I hope the next courses will be as good as it was. I'm excited to see all the subjects with a deeper approach.

By Tushar K

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Oct 10, 2017

Awesome Course for starting out very Basics of Machine Learning with an easy going approach- Case Study Approach. Thanks Instructors.

By Mithilesh K S

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Dec 10, 2016

One of the coolest approach to machine learning by using real life data and its example. I loved it as a beginner to machine learning.

By Shamsa A

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Oct 23, 2016

The instructors are great and the format of the course and organization is great too. The examples used are great and easy to follow.

By Deleted A

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Sep 5, 2016

Good introduction, a very comprehensive overview of main ML topics. Examples are easy to follow and assignments are quite interesting.

By Leonardo F M

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Mar 17, 2021

Curso excelente. Consegue de fato introduzir os conceitos iniciais de machine learning e preparar o aluno para cursos mais profundos.

By George W

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Dec 9, 2020

Emily and Carlos are a great team, I look forward to completing the specialization courses and putting what I learned into practice.

By shahreyar

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Jun 14, 2020

Brilliant Course for beginners. Instructors are pretty cool, and they provide slides in pdf to download, that's a plus point as well.

By Varun K

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Sep 4, 2019

This course was very helpful in understanding ML concepts and doing hands on along with Trainer really helped a lot in understanding.

By sandeep n

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Nov 16, 2016

Well paced. The videos and the notebook go well. Carlos and Emily really bring in their passion and fun. I am now a fan of Vuli Sofi.

By Vladimir B

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Oct 22, 2016

Great overview of ML foundations, informative, fun, practical, and hands-on. Looking forward to the next course in ML specialization!

By Peng W

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Nov 23, 2015

Many thanks for offering such a good course. They will help me a lot on my new career.

Looking forward to your new courses:).

Best

Peng

By Chris W

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Nov 16, 2015

Content and delivery are both excellent. I would strongly recommend this course to anyone looking to get started in machine learning.

By Krutarth C

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May 6, 2021

Great introductory course on machine learning where you can understand applications of machine learning and can get excited about it

By Akshay

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Feb 21, 2016

I was looking for a statistical software other than R and I found that after taking this course. It served as a good primer as well.

By Dan C

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Jan 3, 2016

I thought that the course provided a very nice overview of machine learning without overwhelming me with too much detail. Well done!

By Tushar K

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Nov 22, 2015

A really good introduction to Machine learning. Also one of the best courses where the flow, topics, exercises and quiz are in flow.

By pavan b

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Nov 19, 2018

What an amazing way to start the course. After first module, we know a little bit about every specialization topic. Great material.

By Adam D

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Jan 30, 2018

It is great course for beginners. Now I have basic knowledge about machine learning and I can go forward with next courses. Thanks.

By Kishu A

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Dec 4, 2016

Really a great course and the most passionate teachers I have ever seen. Looking forward to the next courses in the Specialization.