Machine Learning for Practical Applications

The Machine Learning for Practical Applications is a four-month online program that enables professionals to build Machine Learning capabilities for real-world applications, acquire Machine Learning techniques for transition into Machine Learning roles, and gain the expertise to lead and solve real-world business problems with data model at the core. The program covers the below sections: - Introduction to Machine Learning - Learning - Introduction to RapidMiner - Unsupervised Learning: Clustering K-means & Hierarchical Clustering - Supervised Learning: Regression & Decision Trees - Neural Networks I & II - Reinforcement Learning - Advanced Models - Challenges Upon successful completion of the Machine Learning for Practical Applications, participants are awarded a verified digital certificate by NUS School of Computing.