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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：

2776 - Machine Learning Foundations: A Case Study Approach 的 2800 个评论（共 3,159 个）

创建者 shadab h

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Nov 18, 2018

A must do course to start with Machine Learning

创建者 Deleted A

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Jan 21, 2019

great class to learn machine learning hands on

创建者 Spike Y

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Nov 30, 2017

I like the explaining about ipython notebook !

创建者 Abid A S

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Aug 2, 2017

Good one to start learning some basic concepts

创建者 Amilkar H

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May 10, 2019

It's a very good introduction to the subject.

创建者 Roberto E

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Nov 28, 2016

Interesting but a bit weak for my purposes...

创建者 Matic D B

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Feb 9, 2016

Great course. Maybe a little bit too basic.

创建者 Jayant S

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Oct 22, 2019

Explanations must be more comprehensible.

创建者 Flavio B

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Feb 9, 2016

Most of it I already knew, but was nice.

创建者 GOLLAPUDI R C

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Nov 23, 2015

A good introduction to machine learning

创建者 Charupriya S

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Jul 20, 2020

It's really nice course for beginners.

创建者 Sankara S K

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Sep 22, 2018

This is a good 101 course to start ML.

创建者 Nilkumar P

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Jun 10, 2020

So far Best Course on Machine learnig

创建者 Jakkamsetti S D

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Apr 27, 2020

It's really good studying in Coursera

创建者 Om D

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Dec 3, 2019

Nice Course with Detailed explanation

创建者 Oleg S

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Jul 20, 2017

very difficult...a real challenge....

创建者 JUTUR S V

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Jun 23, 2020

Easy Understanding and good teaching

创建者 Alberto M

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Sep 21, 2018

Good overview but basic information.

创建者 Neilmani S

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Feb 13, 2018

It was one of the amazing Course !!!

创建者 Yang W

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Mar 10, 2016

A very practical course. Like Emily.

创建者 Priyanka J

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Jun 17, 2020

Good work but need more explanation

创建者 Abhinav M

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Mar 31, 2018

Great material to try out ourselves

创建者 Dominik S

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Jun 26, 2017

Very nice. I think I learned a lot.

创建者 SUNNY D

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May 3, 2020

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创建者 Shishir S

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May 27, 2017

Good course for the beginners ....