Data science, Machine Learning, Deep Learning, AI

2. • Introduction
• High level over view of Data Science & ML Algorithms
• Detail view & Demo few supervised & unsupervised algorithms using python
• Spark & Spark ML Architecture
• Deep Learning

8. • Supervised Learning
• parametric/non-parametric algorithms, support vector machines, kernels,
neural networks
• Unsupervised Learning
• clustering, dimensionality reduction, recommender systems, deep learning