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

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 MASTERY: ALGORITHMS, APPLICATIONS AND INSIGHTS

PRACTICAL MACHINE LEARNING APPLICATIONS

MACHINE LEARNING FOR DATA SCIENCE - USING ML ALGORITHMS FOR PREDICTIVE MODELING

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

MACHINE LEARNING FOR DATA SCIENCE - USING ML ALGORITHMS FOR PREDICTIVE MODELING

THE ART OF INTELLIGENT MACHINES UNLEASHING THE POWER OF MACHINE LEARNING

MACHINE LEARNING FOR HEALTHCARE PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

REINFORCEMENT LEARNING: FOUNDATIONS, ALGORITHMS AND APPLICATIONS

MACHINE LEARNING FOR IMAGE GENERATION AND STYLE TRANSFER

MACHINE LEARNING FOR HEALTHCARE: PREDICTIVE ANALYTICS AND PERSONALIZED MEDICINE

FOUNDATION OF DATA SCIENCE

DATA SCIENCE: FOUNDATION & FUNDAMENTALS

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

DEEP LEARNING: NEURAL NETWORK AND BEYOND

DEEP LEARNING FOR DATA MINING: UNSUPERVISED FEATURE LEARNING AND REPRESENTATION

NATURAL LANGUAGE PROCESSING (NLP) FOR DATA