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 data/application engineering:
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 with Phyton language
Those who have technical and engineering degrees.
Focus on Metric Representation and Dimensionality Reduction
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
Focus on Privacy
Intro to Python
Intro to R
Use Python SDK for ANN training
Day 6 Optional Python Language (At additional cost)
Intro to Libraries
Use Tensorflow for ANN training
Use Python SDK for Deep Learner training