• What is Machine Learning?
• Applications of Machine Learning Algorithms
• Classification & Regression Problems
• Training & Testing concepts – Cost & optimization functions
• Artificial Neural Networks (ANN)
• Support Vector Machines (SVM)
• Decision Tress & Random Forest
• Bayesian Network