Artificial Intelligence and Machine Learning for EDGE Computing (Paperback)

Part-1 AI and Machine Learning

Artificial Intelligence Machine Learning Regression Analysis Bayesian Statistics Learning Theory Supervised Learning Unsupervised Learning Reinforcement Learning Instance Based Learning & Feature Engineering

Part -2 Data Science and Predictive Analysis

Introduction to Data Science and Analysis Linear Algebra, Statistics, Probability, Hypothesis and Inference, Gradient Descent Predictive Analysis

Part -3 Edge Computing

Distributed Computing ? Cloud to fog to Edge Edge Computing Integrating AI with Edge Computing Machine learning integration with Edge Computing Applying AI/Ml at the edge