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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!

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726 - 750 of 3,157 Reviews for Machine Learning Foundations: A Case Study Approach

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.

By Benjamin V

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Jul 31, 2016

Emily and Carlos are great teachers and a lot of fun. It's a hands-on review of several methods without going too much into detail.

By David

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Jan 31, 2016

The course is well-designed. The lecturer explain things clearly. Most importantly, they introduce very advanced tool (Dato) to us.

By Carlos R

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Nov 24, 2015

I learnt so much about the foundations of machine learning. Emily and Carlos are great teachers. Everybody should take this course.

By Nicolas B d S

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Jun 19, 2022

Curso exclente. A minha unica critica e sobre a biblioteca do Turicreate, que esta defazanda para as versões mais atuais do Python

By Slobodan B

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Oct 12, 2017

This is a great course to start with Machine Learning. Many aspects of ML are presented in an understandable, and interesting way.

By Minliang L

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May 18, 2017

It provides a new way to learn machine learning, case by case, I really love this, however, please bring some more advanced cases.

By Alexis C

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May 1, 2016

Especially loved hearing from Professor Emily Fox. She told the full *story* behind the algorithms, and motivated all approaches.

By Jacob M L

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Mar 1, 2016

Well presented, practical, and hands-on. By far the best Data Science / Machine Learning series I have taken thus far on Coursera.

By Luis M I M

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Feb 16, 2016

The way all the topics are introduced is great. The assessments are simple but its approach to real problems keeps one interested.

By Hanqiao L

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Feb 14, 2016

Ecellent Course for introducing machine learning. I like 2 instructors. They are fun and seems really passionate about this field.

By Billy Z Z

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Feb 5, 2016

Very good introductory course. Doesn't require good depth of programming languages. Gives a good overview of ML and data concepts.

By Alessandro G

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Nov 30, 2015

Very interesting and fun, it lets you explore many aspects of machine learning surprisingly deeply given the short amount of time.

By Jhon J S A

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Mar 10, 2021

Great course, and I'm very happy and satisfied with the teachers, they've a lot of energy and simple skils to explain the subject

By Roshan J

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Feb 26, 2021

Excellent course for beginners.Getting to implement what you learn immediately is quite cool.The teaching methodology was awesome