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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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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

BL

Oct 16, 2016

Very good overview of ML. The GraphLab api wasn't that bad, and also it was very wise of the instructors to allow the use of other ML packages. Overall i enjoyed it very much and also leaned very much

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.

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2201 - Machine Learning Foundations: A Case Study Approach 的 2225 个评论（共 3,159 个）

创建者 V D

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Nov 15, 2020

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创建者 MODANI H

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Oct 31, 2020

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创建者 Sasisrivundavilli

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Oct 30, 2020

GOOD

创建者 YOKESH K R

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Oct 17, 2020

nice

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Oct 13, 2020

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Oct 10, 2020

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Oct 9, 2020

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Sep 22, 2020

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Aug 20, 2020

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Aug 15, 2020

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Aug 6, 2020

nice

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Aug 2, 2020

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Jul 28, 2020

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Jul 24, 2020

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创建者 MOHD J A

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Jul 24, 2020

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Jul 17, 2020

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Jun 15, 2020

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May 29, 2020

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May 21, 2020

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May 18, 2020

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May 16, 2020

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Apr 18, 2020

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Feb 4, 2020

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Jan 4, 2020

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Sep 26, 2019

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