Machine Learning with Big Data

Course Objectives

1. To introduce basic concepts in predictive modelling
2. To introduce supervised and unsupervised learning
3. To introduce python programming language for machine learning
4. To introduce performance evaluation of predictive models

Topics

• Fundamentals of machine learning and main concepts
• Supervised and Unsupervised Learning
• Linear regression, logistic regression
• Naïve Bayes, K-nearest neighborhood
• K-means, Hierarchical clustering
• Artificial Neural Networks
• Support Vector Machines
• Big data examples for regression problems
• Big data examples for classification problems
• Big data examples for clustering problems
• Performance Analysis