The program will provide trainees with exposure to and expertise in all the major techniques in AI, covering both the algorithmic/machine learning aspect and the data/application engineering one:
Understand and use advanced data analytics techniques
Understand and use advanced machine learning techniques
Apply and implement decision and classification techniques
Design advanced machine learning systems and use them to solve classification, prediction, and anomaly detection problems
Those who have technical and engineering degrees.
Advanced Classification
Classification Algorithms
Focus on Metric, Representation, and Dimensionality Reduction
Metric Representation
Dimensionality Reduction Techniques
Focus on Clustering
Refresh on K-Means Clustering algorithms and Its Variants
Clustering Quality Metrics
The Expectation Maximization (EM) Algorithm
Focus on Statistical Estimates
Introduction to Big Data IV
Estimate by Maximum Likelihood Methods
Advanced Deep Learning Models
Adversarial Paradigm
Focus on Privacy
Intro to Python
Intro to R
Use Python SDK for ANN Training