" 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."
Hate calling yourself a "non-technical" founder or professional? Never again. The ultimate guide to thinking digitally and leading software companies.
¿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.
Книга об искусственном интеллекте, стратегических играх и компьютерных шахматах.
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.
Zefs Guide to Deep Learning is a short guide to the most important concepts in deep learning, the technique at the center of the current artificial intelligence revolution. It will give you a strong understanding of the core ideas and most important methods and applications. All in around only 150 pages!
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.
How to transform machine learning research into successful production systems? The answers are in this book! Learn real stories, architectural concepts, tools and best practices that catalyze individual and organizational success in ML.
This book provides a holistic and complete view of the data strategy elements, enabling the practitioner at every step.