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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

4.6
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13,547 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.

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!

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3151 - Machine Learning Foundations: A Case Study Approach 的 3161 个评论（共 3,161 个）

创建者 Jeni

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Apr 16, 2020

Instructional videos were unclear.

创建者 Ali A

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May 14, 2024

Require usage of outdated library

创建者 MD D I

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Jun 26, 2020

I want to un enroll this course

创建者 abhishek s

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Jun 18, 2020

Not a good course to study

创建者 James P

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Sep 14, 2023

Can't do it on M1 chip

创建者 Wenjun X

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Jul 22, 2022

Poor version support

创建者 Jorge L G A

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Sep 23, 2020

no esta en español

创建者 fuzhi z

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Dec 8, 2020

Not recommend

创建者 Jijo J

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Apr 25, 2021

Outdated

创建者 Bhavya C

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Mar 17, 2021

worst

创建者 ABOORVA M S

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May 24, 2020

worst