Table of ContentsGetting Started with Next-Generation Artificial Intelligence through Reinforcement LearningBuilding a Reward Matrix -- Designing Your DatasetsMachine Intelligence -- Evaluation Functions and Numerical ConvergenceOptimizing Your Solutions with K-Means ClusteringHow to Use Decision Trees to Enhance K-Means ClusteringInnovating AI with Google TranslateOptimizing Blockchains with Naive BayesSolving the XOR Problem with a FNNAbstract Image Classification with CNNConceptual Representation LearningCombining RL and DLAI and the IoTVisualizing Networks with TensorFlow 2.x and TensorBoardPreparing the Input of Chatbots with RBMs and PCASetting Up a Cognitive NLP UI/CUI ChatbotImproving the Emotional Intelligence Deficiencies of ChatbotsGenetic Algorithms in Hybrid Neural NetworksNeuromorphic ComputingQuantum ComputingAppendix -- Answers to the Questions
Summary
Artificial Intelligence (AI) gets your system to think smart and learn intelligently. This book is packed with some of the smartest trending examples with which you will learn the fundamentals of AI. By the end, you will have acquired the basics of AI by practically applying the examples in this book
