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.
Day 1
Advanced Classification
Classification Algorithms
Focus on Metric Representation and Dimensionality Reduction
Metric Representation
Dimensionality Reduction Techniques
Day 2
Focus on Clustering
Refresh on K-Means Clustering Algorithms and Its Variants
Clustering Quality Metrics
The Expectation Maximization (EM) Algorithm
Day 3
Focus on Statistical Estimates
Introduction to Big Data IV
Estimate by Maximum Likelihood methods
Day 4
Advanced Deep Learning Models
Adversarial Paradigm
Focus on Privacy
Day 5
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
Day 7
Use Python SDK for Deep Learner training
Advanced Tensorflow
