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AI/Big Data Analytics Training (Data Scientist)

Home | Courses | AI/Big Data Analytics Training (Data Scientist)

Lead Instructor(s)

Dr. Ernesto Damiani

AED 3048

2023-11-06

2023-11-10

2023-10-30

Course Description

 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:

Learning Objectives

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

Who Should Attend

Those who have technical and engineering degrees.

Outline

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

  

Khalifa University
Contact information
continuingeducation@ku.ac.ae

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