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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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13,550 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

AH

Mar 27, 2022

very nice course.If you have basic knowledge of python datastructure then this course is best to start data science.All contents are beginner friendly which makes this course easily understandable.

RH

Jun 8, 2017

I felt this course did a good job introducing the student to Machine Learning. The examples and hands on assignments brought the concepts home. I was able to use the knowledge immediately at work.

筛选依据：

1351 - Machine Learning Foundations: A Case Study Approach 的 1375 个评论（共 3,162 个）

创建者 Khaled A

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Aug 7, 2020

The best machine learning course I have ever attended

创建者 Digvijaysing R

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Jul 29, 2020

This is the Best Course on Coursera for ML beginners.

创建者 Dr N C D

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May 17, 2020

Very informative and knowledge gaining course..Thanks

创建者 Vasudha S S

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May 15, 2018

Excellent course to get started. Thanks you very much

创建者 Srivatsa C

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Jul 21, 2017

Great course with good use cases for ML applications.

创建者 Gautham K G

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Apr 14, 2017

A really good foundation course for Machine Learning.

创建者 Changik C

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Nov 8, 2016

Good course to see various models in machine learning

创建者 Yury N

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Jun 9, 2016

Very good introduction to the Machine Learning domain

创建者 anuj a

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Mar 3, 2016

very goood course for 1st learner of machine learning

创建者 Matthew M

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Oct 16, 2015

clear and useful explanation of the basic tools of ML

创建者 José L C G

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Jan 21, 2020

Fantastic course, I learned a lot and very practical

创建者 Veena J

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Feb 25, 2018

Week 6 Quiz was confusing. Questions were ambiguous.

创建者 MOONKOO K

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Dec 20, 2017

I have learned machine learning & Python Programming

创建者 Ben W

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Jan 19, 2017

Not easy...but that's what makes it worth it, right?

创建者 Clare H

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Dec 26, 2016

A nice survey of various topics in Machine Learning!

创建者 Samriddh K

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Jun 15, 2016

It is a good introductory course to machine learning

创建者 Sai K G

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Mar 14, 2016

Good course which includes hands on training as well

创建者 Akash G

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Nov 21, 2021

Gives basic understanding of each and every topic.

创建者 THANUJ R

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Sep 17, 2020

its awesome thanks for trainers and thanks coursera

创建者 Nikhil t

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Jun 22, 2020

Best course for interested student in every courses

创建者 Kazi S S I

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Apr 9, 2020

Great. THanks for new tutorial. Good for real life.

创建者 Pedro L R G

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Mar 14, 2020

Amazing course and amazing teachers. Thank you all!

创建者 PRASHANTH B

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Jan 3, 2020

Great introductory course on different ML concepts.

创建者 Sameh E

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Jan 19, 2019

very good and very nice course, it added lots to me

创建者 Mats d k

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Jun 13, 2018

Brilliant course with the best imaginable teachers!