Artificial Intelligence

 Delve into the murky depths of ChatBot driven absurdity. Just how far are our technology overlords from total domination? Judge for yourself.

AI can help non-profits operate more efficiently and effectively. Learn about the benefits of AI and how to implement it in your organization.

The field of AI is highly interdisciplinary & evolutionary. The more AI penetrates our life and environment, the more comprehensive the points we have to consider and adapt. Technological developments are far ahead of ethical & philosophical interpretations. This fact is disturbing.We need to close this gap as soon as possible.

Programming of distributed and Web crowdsourcing applications using mobile agents and the JavaScript Agent Machine can be so easy! Less than 100 lines code are required to create a multi-agent system. Only basic JavaScript knowledge is required.

" Avaliação de sintomas clínicos categoria dos chatbots que atuam com avaliação de sintomas e indicações de melhores cuidados, possíveis diagnósticos. Atua na orientação de pacientes sobre os sintomas e possíveis ações quando o profissional de saúde não está disponível."

¿Estás buscando un libro con el que puedas aprender sobre aprendizaje profundo y PyTorch sin tener que pasar horas descifrando texto y código críptico? ¿Un libro técnico que sea también legible y entretenido? ¡Aquí lo tienes!

Become a better data scientist by understanding different modeling mindsets.

Zefs Guide to Deep Learning Flashcards is a set of digital flashcards that accompany the book Zefs Guide to Deep Learning. Anyone wanting to improve their knowledge of the key concepts in machine learning and deep learning will benefit from studying with these flashcards, whether to land that dream AI job or ace their machine learning exams.

All statistical foundations you need to understand and use machine learning! It includes R/Pyhton software and Shiny dashboards to illustrate numerically the most important concepts.

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

A very interesting book with experiments on real life data .

Python is a rich and powerful language, but many data scientists merely scratch the surface, and often feel uncertain about what lies beneath.  This book will go deep into the heart of Python, to truly understand its components, and how we can stitch them together to build better scientific workflows and machine learning systems.

This book provides a holistic and complete view of the data strategy elements, enabling the practitioner at every step.