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学生对 University of Washington 提供的 Machine Learning: Regression 的评价和反馈

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5,581 个评分

课程概述

Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: -Describe the input and output of a regression model. -Compare and contrast bias and variance when modeling data. -Estimate model parameters using optimization algorithms. -Tune parameters with cross validation. -Analyze the performance of the model. -Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python....

热门审阅

EV

Jun 24, 2016

An in-depth overview of the regression techniques and models. I think it went as deep into the concepts as I wanted it to go. Being a developer I found it quite understandable, and useful.Keep it up!

PD

Mar 16, 2016

I really enjoyed all the concepts and implementations I did along this course....except during the Lasso module. I found this module harder than the others but very interesting as well. Great course!

筛选依据：

426 - Machine Learning: Regression 的 450 个评论（共 1,001 个）

创建者 Kevin

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Jun 28, 2019

Clear explanation on regularization as well as bias-variance trade-off.

创建者 Ayush K G

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Sep 25, 2017

This course is full of information about regression in very simple way.

创建者 Angel S

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Dec 25, 2015

Excellent course in the line of the specialization. Highly recommended.

创建者 Abhilash

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Dec 16, 2015

Got more insight to the terms and the methods used in Regression models

创建者 Ayush P

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Aug 23, 2020

Very detailed information was provided in this course. Just loved it!!

创建者 Zynab S

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Aug 20, 2016

wonderful course I really enjoyed this topics disscused in this course

创建者 Aaron B

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Feb 14, 2016

great course, lots of wonderful hands on material, excellent lectures.

创建者 Pandu R

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Jan 6, 2016

Another great course in the series. I can't wait for the 3rd to start!

创建者 Joseph S

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Sep 4, 2021

The instructor was amazing! The assignments were also really helpful.

创建者 Deleted A

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May 18, 2017

Really nice Mooc for a person getting introduced to Machine Learning.

创建者 Farooq M K

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Nov 9, 2016

The very best by our instructor Emily Fox. Cannot be easier than this

创建者 Damian T

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Mar 6, 2016

Difficult but very informative, it builds on the introduction course.

创建者 Johan M

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Dec 22, 2015

Excellent, thorough course on regression! Thank you Emily and Carlos.

创建者 Swapnil A

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Sep 6, 2020

Really really Helpful. Dr. Emily really shows the math from scratch.

创建者 Raman C

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Nov 17, 2019

Great way to learn all the concepts involved involved in regression.

创建者 Tan W J I

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Dec 3, 2016

Awesome! This one contained so much more information than I expected

创建者 Neeta N

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Jul 21, 2020

Excellent lectures with great quizzes. Thank you to the instructors

创建者 Sarah W

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Aug 9, 2017

Great course! Well paced, learned a lot! Topics are well-explained.

创建者 Jaisimha S

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Dec 14, 2016

Emily is fantastic in explaining abstract math concepts. Thank you!

创建者 Miguel M d B

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Mar 20, 2016

Excellent course! Provides great overview of regression techniques.

创建者 Alessandro G

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Feb 25, 2016

Many interesting topics, well explained, a lot of useful practice.

创建者 Ishan S

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Apr 12, 2020

Thanks a lot Sir/Madam for this wonderful learning opportunity .

创建者 Ankur P

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May 10, 2018

I loved the way Emily explained all the concepts to us, perfecto

创建者 Deividas K

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Feb 1, 2017

More difficult than the first course, but also more informative.