Introduction
  • Introduction
  • Learning Objectives
  • Agenda
  • Prerequisites
Machine Learning Key Objectives
  • Key Objective of Machine Learning
  • Arthur Samuel Machine Learning Definition
  • Tom Mitchell Machine Learning Formal Definition
  • Industry Application
  • Terminology
  • Terminology Examples
  • Machine Learning Phases
  • Machine Learning Types
Supervised Learning Overview
  • Supervised Learning Definition
  • Supervised Learning Process
  • Classification Vs. Regression
  • Supervised Learning Algorithms
  • Supervised Training Process
  • Business Analytics
  • Training Summary
Unsupervised Learning Overview
  • Unsupervised Learning Introduction
  • Unsupervised Learning Definition
  • Pattern Types
  • Clustering
  • Anomaly Detection
  • Association Discovery
  • Clustering Example
  • Unsupervised Training Process
  • Unsupervised Learning Business Analytics
  • Unsupervised Learning Dataset Summary
  • Unsupervised Learning Training Summary
Machine Learning Algorithms
  • Which algorithm should I use?
  • Machine Learning Algorithm Attributes
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Naive Bayes
  • Naive Bayes Example
  • Support Vector Machine (SVM)
  • K-Nearest Neighbors (KNN)
  • K-Means Clustering
  • Random Forest
Deep Learning
  • Deep Learning Overview
  • Neuron
  • Network Layers
  • Activation Functions
  • Sigmoid
  • TanH
  • ReLU
  • Lost Function
  • Forward Pass
  • Backward Pass
  • Epoch
Conclusion
  • Machine Learning Conclusion