Kumar / Auffarth Artificial Intelligence with Python Cookbook

Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
1. Auflage 2020
ISBN: 978-1-78913-796-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 468 Seiten

No detailed description available for "Artificial Intelligence with Python Cookbook".

Autoren/Hrsg.

Kumar, Ritesh

Ben Auffarth, Auffarth

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Table of Contents - Getting Started with Artificial Intelligence in Python
- Advanced Topics in Supervised Machine Learning
- Patterns, Outliers, and Recommendations
- Probabilistic Modeling
- Heuristic Search Techniques and Logical Inference
- Deep Reinforcement Learning
- Advanced Image Applications
- Working with Moving Images
- Deep Learning in Audio and Speech
- Natural Language Processing
- Artificial Intelligence in Production

Über Autor(innen)

Kumar Ritesh:

Ritesh Kumar is an experienced researcher with a demonstrated history of working on various industry-sponsored projects mainly on Data Analysis, Machine Learning, and Intelligent Instrumentation. Currently Ritesh is associated with the University of Hertfordshire.Auffarth Ben:

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.