Archive for the ‘IA’ Category

Conferências de Aprendizagem em Máquinas em 2018

Listagem 240 eventos de Aprendizagem de Máquinas comerciais e acadêmicos em todo o mundo.
Fonte e créditos da informação


8–11 Apr, AnacondaCON 2018. Austin, TX, USA.
9–11 Apr, 🎓 AISTATS. Lanzarote, Canary Islands.
9–11 AprSpeechTEK. Washington, USA.
10–13 Apr, O’Reilly Artificial Intelligence Conference. Beijing, China.
11–13 Apr,⭐ AI Marketing Summit. Santa Barbara, USA.
12 Apr, Applied Artificial Intelligence Conference. San Francisco, USA.
12 AprAI World Forum. San Francisco, USA.13–14 Apr, Southern Data Science Conference. Atlanta, USA.
15–20 Apr, 🎓 ICASSP 2018. Calgary, Canada.
16–17 Apr, Artificial Intelligence. Las Vegas, USA.
16–17 Apr, Automation and Robotics. Las Vegas, USA.
17–18 Apr, 2018 Analytics Symposium. Santa Clara, USA.
17–19 Apr, Monage. Mountain View, USA.
18–19 AprAI Expo Global. London, UK.
18–19 AprBig Data & Analytics Innovation SummitHong Kong.
19 Apr, AI Conference. Moscow, Russia.
19–20 Apr, Big Data Innovation Summit. San Francisco, USA.
22–27 Apr, Enterprise Data World (EDW). San Diego, USA. Leia mais…


KDD (Knowledge Discovery in Databases)

Categorias:Banco de Dados, BI, Big Data, IA Tags:, , , , ,

Aplicações de Redes Neurais e Algoritmos Genéticos (Google´s Dinosaur and Flappy Bird)

Genetic Algorithm
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection. (more)

Artificial neural network
Artificial neural networks (ANNs), a form of connectionism, are computing systems inspired by the biological neural networks that constitute animal brains. Such systems learn (progressively improve performance) to do tasks by considering examples, generally without task-specific programming. For example, in image recognition, they might learn to identify images that contain cats by analyzing example images that have been manually labeled as “cat” or “no cat” and using the analytic results to identify cats in other images. They have found most use in applications difficult to express in a traditional computer algorithm using rule-based programming. (more)

Inteligência Artificial com Dinossauro da Google (Source Code)


Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm

12 Algorithms Every Data Scientist Should Know

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