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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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13,543 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

SS

May 18, 2020

The course was very informative but I face a lot of problems in installing Graphlab and Turicreate. I request the Mentors please use the Pandas data frame in place of SFrame. The mentors are cool.

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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1501 - Machine Learning Foundations: A Case Study Approach 的 1525 个评论（共 3,159 个）

创建者 vivek

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Jun 21, 2020

really cool course!! Introduces you to ML

创建者 Raj D

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Jan 10, 2020

Intense but at the same time fun learning

创建者 Ashwani K R

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Sep 30, 2019

i was good course and I really learned ML

创建者 adi0229

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Nov 19, 2017

very easy to understand in the first step

创建者 Dhineshlal J

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Jul 2, 2017

Little challenging but you can get there.

创建者 杨铭宇

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Jul 1, 2017

A so good course with so lovely teathers.

创建者 Ramona V

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Jun 23, 2017

Was very engaging and good for a beginner

创建者 fatma g

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Jan 24, 2017

thank you very much for your huge efforts

创建者 faiq a f

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Sep 12, 2016

It was a great course for the intrduction

创建者 Job W

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May 4, 2016

Great introduction into Machine Learning.

创建者 YH

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Feb 20, 2016

A good introduction course for beginners!

创建者 Pavlo K

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Dec 24, 2015

Great introduction into Machine Learning!

创建者 Rohit L

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Jan 12, 2022

The structure of the course is very good

创建者 Somesh A

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May 18, 2021

Wonderful with all basics being cleared.

创建者 stephane d

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Dec 19, 2020

Great introduction to Machine Learning !

创建者 Ken D

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Nov 30, 2020

Great intro into common algorithms used.

创建者 Walid H

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Nov 15, 2020

This is a amazing course for beginners.

创建者 Manorma m

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Oct 10, 2020

nice experience in learning this course

创建者 SONALI A P

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Aug 12, 2020

its very good course.I ot best knowledge

创建者 Tejasvi S

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Aug 8, 2020

thank you so much !wonderful experience.

创建者 Diksha G

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Jun 17, 2020

amazing explanation by the professors!!!

创建者 MUHAMMED S

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May 17, 2020

Machine learning is best training option

创建者 Sanjay C

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May 4, 2020

It is a good course as an ML foundation.

创建者 Sudhir P

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Dec 2, 2019

Awesome learning experience.. loved it:)

创建者 Santiago G

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Jun 6, 2018

Useful introduction to machine learning.