Denis Rothman graduated from Sorbonne University and Paris-Diderot University, writing one of the very first word2matrix embedding solutions. He began his career authoring one of the first AI cognitive natural language processing (NLP) chatbots applied as a language teacher for Moët 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. Denis is the author of artificial intelligence books such as Transformers for Natural Language Processing.

Recent publications

Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more Paperback – January 29, 2021 Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps Paperback – July 31, 2020 Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition Paperback – February 28, 2020