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Artifical Intelligence (AI)

Introduction

• Introduction to AI
• History of AI
• Application of AI
• Course logistics
• Goals of Artificial Intelligence
• Artificial Intelligence Techniques
• Applications of Artificial Intelligence
• What contributes to Artificial Intelligence
• Real life Use cases in various industries

Extensions of AI

• Creating Environment and Installation of AI
• Basics of Python Involved in AI
• What is Numpy ?
• Introduction to Pandas
• Machine Learning basics
• Deep Learning basics
• Data Preprocessing
• Neural Network
• Back Propagation in Neural Networks
• Gradient Descent in AI
• Cost Function in AI
• Intelligent Agents
• Environments
• Agents Terminology
• Properties of Environment

Machine Learning

• Regression
•    Simple Linear Regression
•    Multiple Linear Regression
•    Decision Tree Regression
•    Random Forest Regression
• Classification
•    Support Vector Classification(SVM)
•    K – Nearest Neighbour Algorithm(KNN)
•    Naïve Bayes Classification

Deep Learning with Tensorflow and Keras

• Neural Networks
• Feed Forward Network
•    input layer, hidden layer, output layer
• Loss Function
• Optimizers
•    adam
•    rmsprop
• Activation Functions
•    sigmoid
•    relu
• Artificial Neural Network
• Convolutional Neural Network
•    Conv2D & Conv3D layer
•    Pooling Layer
•    Flattening Layer

Fuzzy Logic Systems in Artificial Intelligence

• About Fuzzy Logic
• Its System Architecture
• Application of Fuzzy Logic Systems and relevant examples
• Advantages and Disadvantages

Artificial Intelligence Algorithms

• Markov Decision Process
• Bellman Equation
• Q-Learning Algorithm
• Deep Q-Learning Algorithm