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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.

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2076 - Machine Learning Foundations: A Case Study Approach 的 2100 个评论（共 3,162 个）

创建者 Akash s

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Jul 7, 2020

excellent

创建者 Niteesh K

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Jul 5, 2020

excellent

创建者 Lumbha r

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Jul 4, 2020

excellent

创建者 chandana m

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Jun 26, 2020

excellent

创建者 Cristin R

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May 7, 2020

Excellent

创建者 Dani D

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May 6, 2020

EXCELLENT

创建者 Srikanth G

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Apr 28, 2020

Excellent

创建者 bardock s

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Apr 28, 2020

very good

创建者 KORGAONKAR S S

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Apr 13, 2020

Loved it.

创建者 eric g

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Mar 6, 2020

best ever

创建者 Mopuru V R

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Jan 12, 2020

Thank you

创建者 Nathan W

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May 15, 2019

Completed

创建者 Hasan H J

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Apr 2, 2019

excellent

创建者 DIVYANSH S

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Feb 3, 2019

EXCELLENT

创建者 Muhammad A N

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Dec 6, 2018

Excellent

创建者 jorge j l c

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Sep 5, 2018

Excelente

创建者 blues星星

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Aug 17, 2018

m满分，讲的很不错

创建者 肖攀

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Dec 18, 2017

很满意，因为有中文

创建者 Sérgio E L

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Oct 30, 2017

Excellent

创建者 Deleted A

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Sep 9, 2017

very good

创建者 divas v

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May 2, 2017

Excellent

创建者 fan c

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Mar 20, 2017

深入浅出，通俗易懂

创建者 Jake G

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Dec 6, 2016

Loved it!

创建者 threefish

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Aug 30, 2016

very good

创建者 Rajiv B

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Aug 21, 2016

Loved it.