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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

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.

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.

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2176 - Machine Learning Foundations: A Case Study Approach 的 2200 个评论（共 3,162 个）

创建者 Жұмаш М Д

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Oct 21, 2024

good

创建者 Pratham K

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Oct 16, 2024

Good

创建者 MAHIMA D

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Oct 15, 2024

good

创建者 SONU K

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Aug 25, 2023

NICE

创建者 SAYAN B

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May 13, 2023

good

创建者 Khushi P

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Mar 24, 2023

good

创建者 Sulagna D

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Jun 28, 2022

Nice

创建者 Dermawan S

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May 4, 2022

good

创建者 黃彥榮

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Apr 14, 2022

NICE

创建者 madhari t s

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Feb 18, 2022

good

创建者 Badisa N

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Jan 20, 2022

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创建者 Gudipalli N T

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Jan 20, 2022

Good

创建者 Prathibha A

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Dec 6, 2021

good

创建者 �HARSHITHA S

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Nov 29, 2021

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Aug 5, 2021

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Jul 13, 2021

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Jun 23, 2021

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May 15, 2021

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创建者 BE_10_LoKesh B

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May 14, 2021

good

创建者 K.JOSEPH V

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Apr 25, 2021

nice

创建者 Aruzhan D

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Mar 8, 2021

cool

创建者 Amber G

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Feb 9, 2021

good

创建者 Anmol S

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Jan 11, 2021

good

创建者 TATICHARLA M B

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Dec 17, 2020

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