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Machine Learning: Regression(으)로 돌아가기

워싱턴 대학교의 Machine Learning: Regression 학습자 리뷰 및 피드백

4.8
별점
5,264개의 평가
984개의 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

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!

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

필터링 기준:

Machine Learning: Regression의 951개 리뷰 중 351~375

교육 기관: Amit K M

2020년 11월 27일

Excellent contents and videos.... I will encourage all to do this course specialization...

교육 기관: Rahma A

2020년 3월 31일

Very informative and detailed, one of the best machine Learning courses i have ever taken!

교육 기관: Guomao X

2016년 9월 20일

the material is solid and using python is a good way to learn machine learning programming

교육 기관: Steven R

2016년 8월 14일

Great introduction to Regression, would recommend to anyone looking to make a start in ML.

교육 기관: Ingrid B

2016년 8월 12일

Really excellent guided course. Well explained and very useful exercises. Highly recommend

교육 기관: Marnix W

2016년 3월 22일

Great course well taught. Amazed about the in depth course material and practices. Thanks!

교육 기관: Peter G

2016년 2월 26일

Excellent presentation of fundamental concepts and good overview of some specific methods.

교육 기관: Jhonatan J

2016년 2월 1일

great course, I learned a lot. Videos, slides, quiz, programming exercises, a lot of fun.

교육 기관: Suoyuan S

2016년 1월 21일

Good course, but could improve the quiz. Currently the quiz are too easy for ML learners.

교육 기관: Mr. R K M

2021년 1월 20일

excellent course for boosting the knowledge in the area of machine learning (Regression)

교육 기관: Harshavardhan N

2020년 5월 8일

It was really a great experience for me. The content in this course are really in-depth.

교육 기관: Alejandro T

2016년 12월 4일

Very thorough course and very approachable much better than course one of specialization

교육 기관: misuzukira

2015년 12월 29일

professors are outstanding.I can easily get access to what they teach,thanks for your ha

교육 기관: Christopher S

2017년 8월 3일

Great course. Heavy on the math but could use a little more on the implementation side.

교육 기관: YASHKUMAR R T

2019년 3월 24일

The mathematical proof and concept given behind lasso and ridge regression is awesome.

교육 기관: Refael J

2018년 12월 23일

Very good course. The lecturer is very good and the information is very comprehensive.

교육 기관: Dmitri T

2016년 4월 25일

Great course and makes a solid practical foundation for regression. Really enjoyed it.

교육 기관: James D

2016년 4월 9일

Great instructors make this course one of the best I have taken. Thank you very much!!

교육 기관: Arthur Z

2017년 2월 24일

Top notch material presented in a really enjoyable manner. The professors are great.

교육 기관: Jifu Z

2016년 7월 22일

Good class, But it would be much better if the quiz is open to those who doesn't pay.

교육 기관: Nihar S

2016년 4월 20일

Great class that breaks down machine learning concepts into simple digestible pieces.

교육 기관: Rajkumar K

2017년 5월 27일

Course was made very intuitive & easy to understand with a case study based approach

교육 기관: Soumya

2016년 3월 4일

a little more details considering the the cost of the module would be appreciatiated

교육 기관: Dae K L

2017년 2월 15일

Good lecture, nice explanation for statics and machine learning and greate examples

교육 기관: Sam S

2016년 11월 23일

Good pace, thorough presentation, challenging but reasonable programming exercises.