PyQuant News (@pyquantnews): "4 machine learning cheatsheets from Stanford (that will save you hours of study): Deep Learning • Neural network architecture • Activation functions • Loss functions • Learning rates Machine Learning Tips • Metrics • Classification • Confusion matrix • ROC/AUC Linear …"

4 machine learning cheatsheets from Stanford (that will save you hours of study):

Deep Learning

• Neural network architecture

• Activation functions

• Loss functions

• Learning rates

Machine Learning Tips

• Metrics

• Classification

• Confusion matrix

• ROC/AUC

Linear Algebra

• Matrix

• Vector multiplication

• Transpose

• Inverse

Probability and Statistics

• Permutation

• Combination

• Bayes' rule

• Randomness

And here's a link to the GitHub:

github.com

VIP cheatsheets for Stanford’s CS 229 Machine Learning - afshinea/stanford-cs-229-machine-learning

May 7

9:22 PM