The Math You Should Know for Machine Learning

The Math You Should Know for Machine Learning

CodeEmporium via YouTube Direct link

The Kernel Trick - THE MATH YOU SHOULD KNOW!

11 of 16

11 of 16

The Kernel Trick - THE MATH YOU SHOULD KNOW!

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

The Math You Should Know for Machine Learning

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Likelihood Estimation - THE MATH YOU SHOULD KNOW!
  2. 2 Probability for Machine Learning!
  3. 3 Linear Regression and Multiple Regression
  4. 4 Breaking Linear Regression
  5. 5 Regularization - Explained!
  6. 6 Logistic Regression - Is it Linear Regression?
  7. 7 Logistic Regression - THE MATH YOU SHOULD KNOW!
  8. 8 Bias Variance Tradeoff Explained!
  9. 9 Gradient Descent - THE MATH YOU SHOULD KNOW
  10. 10 Principal Component Analysis (PCA) - THE MATH YOU SHOULD KNOW!
  11. 11 The Kernel Trick - THE MATH YOU SHOULD KNOW!
  12. 12 Support Vector Machines - THE MATH YOU SHOULD KNOW
  13. 13 5 Probability Distributions you should know as a Data Scientist
  14. 14 Math you need as a Data Scientist
  15. 15 Back propagation by hand | the math you should know
  16. 16 Convolution Network back propagation by hand | the math you should know!

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.