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返回到 Machine Learning Foundations: A Case Study Approach

学生对 University of Washington 提供的 Machine Learning Foundations: A Case Study Approach 的评价和反馈

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13,543 个评分

课程概述

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....

热门审阅

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!

筛选依据：

751 - Machine Learning Foundations: A Case Study Approach 的 775 个评论（共 3,159 个）

创建者 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...

创建者 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!

创建者 Saqib N S

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Jun 20, 2016

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

创建者 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.

创建者 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.

创建者 Divyansh K

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Jun 13, 2020

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

创建者 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

创建者 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.

创建者 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

创建者 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.

创建者 Hao K L (

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Oct 29, 2016

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

创建者 Praveen k

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Nov 30, 2018

Good case studies to start with. Would have been better if python 3 was used. Please update and provide everything in python 3.

创建者 courage s

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Aug 17, 2018

SPOT ON 100%. Teaching Methods - 100, Humor - 100, Practicality - 100, Applicability - 100.

Thanks UoW, Emily, Carlos, Coursera.

创建者 Anuj G

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Jul 18, 2017

This course is fantastic. I got hands on coding practice using this course which makes me already feel like a Data Scientist :)

创建者 Amar P

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Jan 8, 2017

Course material is very good, illustrating real world examples. Need a bit more participation of mentor/TAs in discussion forum

创建者 Santhanam E

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May 24, 2016

Very prominent one for machine learning, Kudos to the instructor both done their part very perfectly. Thanks for the coursera .

创建者 Sophie Z

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Apr 4, 2016

This course is easy to start with. It helps building confidence. Thank Carlos and Emily for this wonderful introduction course.

创建者 Tripat S

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Nov 24, 2015

This is the most pragmatic course on Machine Learning - A must have course for everyone, who wants to get into Machine learning

创建者 Radwa E S

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Apr 25, 2018

The course introduces most of the basis of machine learning in a very simple and clear way illustrated by real world examples

创建者 Junliang Z

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Sep 22, 2017

My first course in Coursera! totally worth it

Good course to learn the basic theory about ML. Quiz and homework is instructive.

创建者 Halil B

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Aug 10, 2016

Instructors clearly explained the concepts. Teaching with real examples is a great idea. Looking forward to see other courses.

创建者 AKANKSHA S

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Aug 23, 2020

Great course..... In starting i do have problem coping up with turicreate. But later, enjoyed as well learned a lot about ml

创建者 Panchal R J

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Jun 10, 2020

The course was really every informative and it gives you a practical perspective to Machine Learning. Really I learned a lot.

创建者 OLZHAS S

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Feb 16, 2019

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

创建者 Manoj K B

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May 26, 2018

Very good approach of learning, and the course material is designed very nice to get the gist of the class with an assignment