About
Blog
Classes
Dev
Team
Join Us!
About
Blog
Classes
Dev
Team
Join Us!
#1 What is AI?
#2 What is Deep Learning?
#3 Supervised Learning
#4a Introduction to Linear Regression
#4b Machine Learning Math
#4c Gradient Descent
#4d Linear Regression w/ TensorFlow
#5 Logistic Regression
#6 Bayes’ Theorem
#7 Binary Cross-Entropy Loss
#8 Fully-Connected Neural Networks
#9 Optimization & Regularization
#10 Convolutional Neural Networks
Lessons
Close
#1 What is AI?
#2 What is Deep Learning?
#3 Supervised Learning
#4a Introduction to Linear Regression
#4b Machine Learning Math
#4c Gradient Descent
#4d Linear Regression w/ TensorFlow
#5 Logistic Regression
#6 Bayes’ Theorem
#7 Binary Cross-Entropy Loss
#8 Fully-Connected Neural Networks
#9 Optimization & Regularization
#10 Convolutional Neural Networks
Bayes’ Theorem
Hey, baes, let’s leverage Bayes’ Theorem to build a spam filter!
Link to slides
next lesson
back to lessons
