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Machine Learning: Regression(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Regression 학습자 리뷰 및 피드백

4.8
별점
5,324개의 평가
993개의 리뷰

강좌 소개

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....

최상위 리뷰

KM
2020년 5월 4일

Excellent professor. Fundamentals and math are provided as well. Very good notebooks for the assignments...it’s just that turicreate library that caused some issues, however the course deserves a 5/5

PD
2016년 3월 16일

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!

필터링 기준:

Machine Learning: Regression의 961개 리뷰 중 876~900

교육 기관: Charles P

2020년 4월 8일

Good introduction, very good for basic understanding, but lacks depth.

교육 기관: Patrick M d F

2019년 7월 5일

Excellent trad-off between theory, algorithims and practical examples

교육 기관: Nipun G

2019년 4월 21일

Please get rid of SFrame and graphlab. However, professor is awesome!

교육 기관: Andrej

2016년 11월 13일

Very good course, going through plenty of used regression techniques.

교육 기관: Kunal F

2020년 4월 26일

Too much theory intensive. Should have more practical approaches

교육 기관: 陈佳艺

2017년 4월 30일

Maybe because I am a graduate student,it seems a little lengthy.

교육 기관: Xiaofeng H

2016년 10월 4일

Hope can recommend some reading materials for some theory parts.

교육 기관: Farmer

2018년 6월 28일

Very interesting course, but the assignment is a bit too easy.

교육 기관: Srinivas C

2018년 8월 12일

This course provided deep insights on regression concepts

교육 기관: Markus M

2016년 2월 10일

Good structure, but maybe a bit too basic and slow pace.

교육 기관: M.sakif m

2016년 1월 8일

Very thorough and challenging class.Highly recommended.

교육 기관: Vinay V

2016년 1월 28일

This course is so well structured and the is awesome

교육 기관: Yegwende

2016년 2월 8일

Learn more about linear regression, ridge and so on.

교육 기관: Mohinish N

2018년 3월 22일

Gives good abstraction of underlying algorithm.

교육 기관: Rushikesh M N

2019년 11월 19일

Detailed derivation, Loved the way they teach.

교육 기관: João S

2016년 1월 7일

Nioce course. Compreensive notes and nice (&fu

교육 기관: Andrew G L

2017년 8월 4일

Great course to get started with regression.

교육 기관: Rajeev R

2020년 1월 26일

Nice introductory ML concepts to star with.

교육 기관: Shaurya s

2016년 1월 1일

Excellent course except the last week :)

교육 기관: mohammed T

2018년 3월 12일

i wish that you have used scikit learn

교육 기관: Pier L L

2016년 9월 20일

Very good course. I really liked it.

교육 기관: Aman G

2018년 9월 24일

Don't bug me regarding the review.

교육 기관: gaozhipeng

2016년 2월 12일

Nice course! Thank you very much ~

교육 기관: Paul M

2017년 12월 22일

Excellent overview. Great slides

교육 기관: Michael L

2017년 3월 18일

Far too math, much less practice