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5. ISE 2023 Exam Syllabus
Topics Sub-Topics Weightage
No. of
Questions
Fundamentals
of Artificial
Intelligence
Ÿ
Ÿ
Ÿ
Ÿ
Fundamentals of AI and ML
Big Data and AI
AI on the Cloud
Use cases for AI
25% 9
Essential
Machine
Learning
Ÿ
Ÿ
Ÿ
Machine Learning and Python
Machine Learning Algorithms
for Classification
Supervised Learning:
Classification and Regression
Ÿ
Ÿ
Unsupervised Learning:
Detecting Patterns
Visualizing Data for Machine
Learning
25% 9
Deep
Learning
Ÿ
Ÿ
Deep Learning Foundations
TensorFlow and its
Functionalities
Deep Learning with TensorFlow
on the Cloud.
Ÿ
Ÿ
Ÿ
Transfer Learning
Fundamentals
Deep Fakes
Deep-Q-Learning
15% 6
Natural
Language
Processing
Ÿ
Natural Language Processing
using Python
Ÿ
Ÿ
Text Data Analysis
Speech Recognition
10% 3
Reinforcement
Learning
Ÿ
Reinforcement Learning
Fundamentals
Ÿ
Ÿ
Monte Carlo (MC) Methods
Temporal Difference Learning
12% 4
Computer
Vision
Ÿ
Ÿ
Computer Vision, Raspberry Pi,
and Face Detection
Image Content Analysis
Ÿ
Ÿ
Ÿ
Object Detection Basics
Detecting Vehicles Using
OpenCV and Deep Learning
13% 4
Total
100% 35
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