Overview

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


Who should attend

Those who have technical and engineering degrees. 


Outline

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