Chevron Left
Machine Learning: Regression(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Regression 학습자 리뷰 및 피드백

4,582개의 평가
859개의 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


Mar 17, 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!


Jan 27, 2016

I really like the top-down approach of this specialization. The iPython code assignments are very well structured. They are presented in a step-by-step manner while still being challenging and fun!

필터링 기준:

Machine Learning: Regression의 828개 리뷰 중 351~375

교육 기관: Dhanasekar S

Dec 31, 2016

Wonderfully organized and explained. Especially the Lasso and Ridge Regression!

교육 기관: Robert R

Jan 05, 2016

Just enough detail for beginners to provide a deep understanding of the subject

교육 기관: Enrique J A R

Dec 29, 2015

I enjoyed specially the part about performance assessment and cross validation.

교육 기관: Vaibhav O

Jan 03, 2017

Excellent course on Regression! Must do for some serious hands on in the field

교육 기관: Arghad A

Jan 14, 2016

One of the best courses I've done ever... thank you Emily you are the best ...

교육 기관: Miao J

Dec 17, 2015

Great course, which offer you a very practical experience in machine learning!

교육 기관: Abu M S K

Apr 10, 2016

The instructors give beautiful explanations which make course fun and doable.

교육 기관: Hongzhi Z

Feb 05, 2018

Very Vivid and learn a lots, best AI specialization in Washington university

교육 기관: Sandeep B S

Aug 25, 2018

Great content from the professor, learning regression was very interesting

교육 기관: Mahmoud F

Feb 06, 2017

One of the most awesome courses in Machine Learning, with awesome mentors.

교육 기관: Biswa D

Sep 27, 2016

Clearly illustrates the essential concepts to prep for more advanced stuff

교육 기관: Daniel Z

Mar 08, 2016

The most important aspects of regression are approached clear and precise

교육 기관: Suraj S G G

Jan 07, 2018

This course is really very helpful as well challenging for the learrners.

교육 기관: Prasant K S

Jan 09, 2017

This is a fantastic course with lot of hands on programming applications.

교육 기관: Mark T

Jan 28, 2016

More excellent material presented and explained incredibly well. Thanks!

교육 기관: Krisda L

Jul 19, 2017

Great course. It covers a lot of regression techniques you should know.

교육 기관: Ayan M

Aug 08, 2016

Absolutely fantastic and pretty much enriching the knowledge. Thank you!

교육 기관: Jerome G

Jan 07, 2016

Thanks Emily and Carlos, it was a very great moment when light come in !

교육 기관: Kevin

Jun 28, 2019

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

교육 기관: Ayush K G

Sep 25, 2017

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

교육 기관: Angel S

Dec 25, 2015

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

교육 기관: Abhilash V

Dec 17, 2015

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

교육 기관: Zynab S

Aug 21, 2016

wonderful course I really enjoyed this topics disscused in this course

교육 기관: Aaron B

Feb 14, 2016

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

교육 기관: Pandu R

Jan 06, 2016

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