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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

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.

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!

筛选依据：

1651 - Machine Learning Foundations: A Case Study Approach 的 1675 个评论（共 3,159 个）

创建者 khalid k

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Oct 24, 2018

Very effective teaching method.

创建者 Arun K P

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Jul 10, 2018

Very good concept, It opens the

创建者 Rodrigo T

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Sep 5, 2017

Excelent Course, nice examples.

创建者 TaeKiJeong

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Jan 5, 2017

The best module, I ever studied

创建者 Metodi K T

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Nov 19, 2016

This course was very fun to me.

创建者 Eden C

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Mar 23, 2016

Fantastic! Love the professors.

创建者 汪彦龙

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Jan 19, 2016

Case study approach is awesome!

创建者 Roy V

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Dec 28, 2015

Very nice overview of the field

创建者 Tandranki M

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Jan 24, 2022

Very helpful to gain knowledge

创建者 Esteban G L

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Mar 29, 2021

Good entry level course for ML

创建者 Abdelrahman A

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Nov 19, 2020

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创建者 Arshiya n

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Jul 19, 2020

Thank you so much it was super

创建者 Bowen F

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May 5, 2020

grrrrrreat! I love this course

创建者 zoom

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Mar 5, 2018

good ,It is very useful for me

创建者 Miguel Z

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Jan 27, 2018

Excellent. Highly recommended.

创建者 Ashok B

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Jul 23, 2017

Excellent coverage of the conc

创建者 ketan k

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Nov 7, 2016

Very good introduction course.

创建者 David L

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Sep 23, 2016

Very up to date and practical.

创建者 Thalles R

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May 3, 2016

Amazing!

Best M.L. course ever.

创建者 Ranu

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Feb 23, 2016

Looking forward to learn more.

创建者 CynthiaEast

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Dec 19, 2015

A good course to introduction.

创建者 Kurtis H

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Nov 5, 2015

The instructors are excellent.

创建者 Abdul-Rasheed O O

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May 19, 2022

Easy to follow and understand

创建者 Juan C C G

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Nov 3, 2020

Es buen curso de introducción

创建者 Saurabh S

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Sep 22, 2020

Amazing course. Lot to Learn.