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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

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.

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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726 - 750 of 3,115 Reviews for Machine Learning Foundations: A Case Study Approach

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

By Romain V

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May 27, 2018

loved the use case approach, very comprehensive and always easier using real life example as opposed to theoretical principles...

By Enrique D

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Apr 16, 2017

Excellent introduction to machine learning! Best way to get an overview of the science and practice of this fascinating practice!

By Saqib N S

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Jun 21, 2016

The instructors explained the concepts well. This course gives a great overview of several concepts involved in machine learning.

By Matthias B

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Oct 25, 2015

Very nice course. Well structured and applications based introduction to ML with just the right amount of work peer week. Thanks.

By Anita Y

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Nov 28, 2020

Very useful and knowledge sharing course. All the concepts were explained properly. Both the instructors were very good. Thanks.

By Divyansh K

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Jun 14, 2020

Instructors were amazing. I loved the way Carlos sir speaks. Understood the basics. Time to take a deep dive in Machine Learning

By Walt M

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Feb 4, 2019

create videos and hands on practices

Neural network part should be enhanced with more common frameworks, such as TensorFlow/Keras

By Nathan M

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Feb 27, 2017

Excellent introduction to basic concepts of machine learning. I will continue to follow the other courses in the specialization.

By Sabin K

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Jan 24, 2017

Nice introductory class. It gives you a nice concepts of various algorithms with a working example. Thoroughly enjoyed the class

By Nirdesh D

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Jan 8, 2017

Great course. This course is designed to make it easy to learn and implement various machine learning algorithms and techniques.

By Hao K L

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Oct 30, 2016

This course is a greate introduction towards machine learning and the package used graphlab create is really easy to use as well