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Machine Learning and AI

25

Sep'23

Deep Reinforcement Learning

Chapter: Deep Reinforcement Learning Introduction: Deep Reinforcement Learning (DRL) is a subfield of machine learning and artificial intelligence that combines …

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25

Sep'23

Sequence-to-Sequence Models

Chapter: Machine Learning and AI-Machine Learning for Natural Language Processing (NLP) Introduction: Machine Learning and Artificial Intelligence (AI) have revolutionized …

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25

Sep'23

Computer Vision in Robotics

Chapter: Machine Learning and AI in Computer Vision and Image Processing Introduction: Machine learning and artificial intelligence (AI) have revolutionized …

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25

Sep'23

Graphical Models for Structured Prediction

Chapter: Machine Learning and AI – Probabilistic Graphical Models Introduction: Machine learning and artificial intelligence (AI) have revolutionized various industries …

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25

Sep'23

Multi-Agent Reinforcement Learning

Title: Exploring Reinforcement Learning and Autonomous Agents: Key Challenges, Learnings, and Modern Trends Topic 1: Reinforcement Learning and Autonomous Agents …

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25

Sep'23

Explainable AI (XAI)

Chapter: Transfer Learning and Domain Adaptation in Machine Learning Introduction: Transfer learning and domain adaptation are advanced topics in machine …

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