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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

RM

Feb 2, 2022

I was very disappointed with the exclusion of the final courses and the capstone project. The most interesting part of specialization no longer exists and no plausible justification has been given.

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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2151 - Machine Learning Foundations: A Case Study Approach 的 2175 个评论（共 3,162 个）

创建者 Srinivasan L

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Dec 17, 2017

Great!

创建者 sandeep

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May 29, 2017

Thanks

创建者 Кулиа Н

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Nov 3, 2024

Круто

创建者 Досымбек Ж

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Oct 14, 2024

Круто

创建者 Assanov A

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Oct 7, 2024

жаксы

创建者 Toyin A

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May 30, 2023

Great

创建者 Prabal G

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Oct 9, 2020

great

创建者 Soumyajit M

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Sep 20, 2020

Great

创建者 BHARAT C

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Sep 20, 2020

Great

创建者 Danish S

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Aug 22, 2020

Great

创建者 Md. R Q S

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Aug 18, 2020

great

创建者 gaurav k

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Jul 6, 2020

great

创建者 vunyala s

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Jun 25, 2020

great

创建者 tanzil r

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Jun 12, 2020

great

创建者 黄雷涛

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Feb 4, 2020

good!

创建者 prakhar k

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Dec 17, 2017

Great

创建者 Wansoo J

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Nov 29, 2017

Good.

创建者 Darryl L

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Aug 23, 2017

great

创建者 李真

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Feb 19, 2016

Great

创建者 Karamoko A W F

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Oct 9, 2025

good

创建者 JENITT Y (

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Nov 11, 2024

good

创建者 Aditya M

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Nov 11, 2024

good

创建者 Тажиханов Д С

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Oct 29, 2024

good

创建者 Бақытқыли Д

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Oct 29, 2024

woow