Breaking Linear Regression

Поделиться
HTML-код
  • Опубликовано: 9 сен 2024
  • What happens if we break the assumptions of linear regression for machine learning?
    RESOURCES
    [1] What do linear regression parameters mean: datascience.st...
    [2] This has some good intuition that distinguishes applications of linear regression: stats.stackexc...
    [3] Why should residuals be normally distributed? qr.ae/pvl91W
    [4] Penn State's notes on the assumptions of linear regression: online.stat.ps...
    [5]What do normal residuals tell you about your data: stats.stackexc...
    [6] Wikipedia on linear regression (it's actually pretty good): en.wikipedia.o...
    [7] Better understanding of "Linear in parameters": datascience.st...
    MATH COURSES (7 day free trial)
    📕 Mathematics for Machine Learning: imp.i384100.ne...
    📕 Calculus: imp.i384100.ne...
    📕 Statistics for Data Science: imp.i384100.ne...
    📕 Bayesian Statistics: imp.i384100.ne...
    📕 Linear Algebra: imp.i384100.ne...
    📕 Probability: imp.i384100.ne...
    OTHER RELATED COURSES (7 day free trial)
    📕 ⭐ Deep Learning Specialization: imp.i384100.ne...
    📕 Python for Everybody: imp.i384100.ne...
    📕 MLOps Course: imp.i384100.ne...
    📕 Natural Language Processing (NLP): imp.i384100.ne...
    📕 Machine Learning in Production: imp.i384100.ne...
    📕 Data Science Specialization: imp.i384100.ne...
    📕 Tensorflow: imp.i384100.ne...

Комментарии • 34