MACHINE LEARNING IN HEALTH CARE DIAGNOSIS AND PROGNOSIS

MACHINE LEARNING INTERPRETABILITY: EXPLAINING AI MODELS TO HUMANS

VERTICAL OPTIMIZATION: AI AGENTS IN THE DEV-OPS ERA

DATA PROCESSING AT THE EDGE

SUPERVISED LEARNING ALGORITHMS CLASSIFICATION AND REGRESSION ALGORITHMS

INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT

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

IOT SECURITY: SECURING THE INTERNET OF THINGS DEVICES AND NETWORKS

MACHINE LEARNING FOR CYBER SECURITY DETECTING ANOMALIES AND INSTRUSIONS

COMPUTER VISION: SEEING THE WORLD THROUGH AI EYE

AI, IOT AND MACHINE LEARNING BASICS