Artificial Intelligence By Example.

Table of Contents - Getting Started with Next-Generation Artificial Intelligence through Reinforcement Learning
- Building a Reward Matrix - Designing Your Datasets
- Machine Intelligence - Evaluation Functions and Numerical Convergence
- Optimizing Your Solutions with K-Means Clustering
- How to Use Decision Trees to Enhance K-Means Clustering
- Innovating AI with Google Translate
- Optimizing Blockchains with Naive Bayes
- Solving the XOR Problem with a Feedforward Neural Network
- Abstract Image Classification with Convolutional Neural Networks (CNN)
- Conceptual Representation Learning
- Combining Reinforcement Learning and Deep Learning
- AI and the Internet of Things (IoT)
- Visualizing Networks with TensorFlow 2.x and TensorBoard
- Preparing the Input of Chatbots with Restricted Boltzmann Machines (RBMs) and Principal Component Analysis (PCA)
- Setting Up a Cognitive NLP UI/CUI Chatbot
- Improving the Emotional Intelligence Deficiencies of Chatbots
- Genetic Algorithms in Hybrid Neural Networks
- Neuromorphic Computing
- Quantum Computing
- Appendix - Answers to the Questions