INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT

BLOCKCHAIN FUNDAMENTALS CORE AND CONCEPTS AND DECENTRALIZED LEDGER TECHNOLOGY

APPLICATIONS BEYOND CRYPTOCURRENCIES - NON-FINANCIAL USE CASES FOR BLOCKCHAIN TECHNOLOGY

DATA STRUCTURES FOR MODERN APPLICATIONS

Internet of Things (IoT): Principles and Applications in Engineering

PRACTICAL MACHINE LEARNING APPLICATIONS

CLIMATE CHANGE IMPACT ASSESSMENT ON AGRICULTURE WITH ML

REINFORCEMENT LEARNING: FOUNDATIONS, ALGORITHMS AND APPLICATIONS

REINFORCEMENT LEARNING FUNDAMENTALS - LEARNING THROUGH REWARDS AND PUNISHMENTS

AI, IOT AND MACHINE LEARNING BASICS

FUTURE TRENDS IN BLOCKCHAIN SCALABILITY, INTEROPARABILITY, AND BEYOND MACHINE LEARNING

DEEP LEARNING FOR DATA MINING UNVEILING COMPLEX PATTERNS WITH NEURAL NETWORKS

HEALTHCARE SOLUTIONS USING MACHINE LEARNING

MORPHOLOGICAL IMAGE PROCESSING AND INTENSITY TRANSFORMATIONS

QUANTUM COMPUTING FOR BEGINNERS