BLOCKCHAIN AND THE INTERNET OF THINGS (IOT): A CONVERGENCE OF TECHNOLOGIES

AI, IOT AND MACHINE LEARNING BASICS

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

MACHINE LEARNING FOR IMAGE GENERATION AND STYLE TRANSFER

REINFORCEMENT LEARNING FUNDAMENTALS - LEARNING THROUGH REWARDS AND PUNISHMENTS

BLOCKCHAIN FUNDAMENTALS CORE AND CONCEPTS AND DECENTRALIZED LEDGER TECHNOLOGY

ARTIFICIAL INTELLIGENCE IN BIOINFORMATICS: ENHANCING ANALYSIS

ARTIFICIAL INTELLIGENCE IN HEALTHCARE: ADVANTAGES AND DISADVANTAGES

Explainable AI (XAI): Making Machine Learning Models Interpretable and Trustworthy Cloud Computing

NLP (NATURAL LANGUAGE PROCESSING) IN BIOINFORMATICS HEALTHCARE APPLICATIONS

MACHINE LEARNING EXPLAINED: A PRACTICAL GUIDE TO DATA-DRIVEN DECISION MAKING

DATA SCIENCE ETHICS AND RESPONSIBLE AIEITHICAL CONSIDERATIONS IN DATA SCIENCE AND AI

MACHINE LEARNING: APPLICATION AND CHALLENGES

DEEP LEARNING FOR DATA MINING UNSUPERVISED FEATURE LEARNING AND REPRESENTATION

DEEP LEARNING FOR DATA MINING: UNSUPERVISED FEATURE LEARNING AND REPRESENTATION