Programme Content
The course is divided into comprehensive modules necessary to build your expertise progressively. The following are the important components of the methodology:
Understanding machine learning in business
Supervised machine learning
Unsupervised machine learning
Text analytics and sentiment analysis
Neural networks and deep learning
Recommendation systems
Key algorithms: decision trees, naïve-Bayes classifier, clustering (e.g., k-means, hierarchical clustering), association rule mining, random forest, ensemble learning, k-nearest neighbors (k-nn), logistic regression and others
