BLOCKCHAIN FUNDAMENTALS CORE AND CONCEPTS AND DECENTRALIZED LEDGER TECHNOLOGY

DATA STRUCTURES FOR MODERN APPLICATIONS

INTERPRETABLE AI: TECHNIQUES FOR MAKING MACHINE LEARNING MODELS TRANSPARENT

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

PRACTICAL MACHINE LEARNING APPLICATIONS

UNLEASHING THE POWER OF AI: A COMPREHENSIVE GUIDE TO ADVANTAGES AND DISADVANTAGES IN DIFFERENT INDUSTRIES

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

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

AI, IOT AND MACHINE LEARNING BASICS

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

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

NATURAL LANGUAGE PROCESSING (NLP) FOR DATA

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

MACHINE LEARNING APPLICATIONS

MACHINE LEARNING MASTERY: ALGORITHMS, APPLICATIONS AND INSIGHTS