Rothman Artificial Intelligence By Example.

Acquire advanced AI, machine learning, and deep learning design skills
2. Auflage 2020
ISBN: 978-1-83921-281-9
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 578 Seiten

No detailed description available for "Artificial Intelligence By Example.".

Autoren/Hrsg.

Rothman, Denis

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

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

Über Autor(innen)

Rothman Denis:

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.