Deep Reinforcement Learning + Procesamiento Distribuido con Big Data
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Recibimos Septiembre con un invitado de la Universidad Técnica de Munich, Vishal Bhalla, quien presentará los conceptos básicos y aplicaciones de DeepReinforcement Learning (en inglés), seguido del ingeniero Jorge Castro, con una presentación sobre el procesamiento distribuido de datos con tecnologías de Big Data.
Además en el intermedio tendremos una charla rápida de Keyur Mithawala, sobre su proyecto AiAi.care (https://aiai.care), donde aplica Deep Learning para detectar el cáncer.
Evento patrocinado por: Belatrix - http://www.belatrixsf.com
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Reinforcement Learning (RL) approaches to deal with finding an optimal reward based policy to act in an environment (Charla en Inglés)
However, what has led to their widespread use is its combination with deep neural networks (DNN) i.e., deep reinforcement learning (Deep RL). Recent successes on not only learning to play games but also superseding humans in it and academia-industry research collaborations like for manipulation of objects, locomotion skills, smart grids, etc. have surely demonstrated their case on a wide variety of challenging tasks.
With application spanning across games, robotics, dialogue, healthcare, marketing, energy and many more domains, Deep RL might just be the power that drives the next generation of Artificial Intelligence (AI) agents!
Come join me in this Deep RL introductory talk as I cover some basic concepts, applications, the key players, latest research algorithms and the challenges involved.
Let's deeply 'Reinforce' our interest in this topic! :)
Slides: https://www.slideshare.net/BigDataColombia/an-introduction-to-deep-reinforcement-learning
Vishal Bhalla, is a Masters of Science (MSc) in Computer Science student from the Technical University of Munich (TUM), Germany. LinkedIn (https://www.linkedin.com/in/vishalbhalla17/)
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Big Data: Un esquema innovador de procesamiento y almacenamiento distribuído.
En esta charla se explican los conceptos fundamentales de una solución de Big Data desde el punto de vista de ingeniería, haciéndose énfasis en que Big Data es un modelo innovador y disruptivo de manejo de los datos en una ambiente de procesamiento y almacenamiento distribuidos, con especial atención en los detalles arquitéctónicos de las bases de datos NoSQL y el surgimiento de mecanismos generales para procesar grandes cantidades de datos.
Jorge Castro. Ingeniero Electrónico especializado en mercadeo y en gerencia informática, certificado por Arcitura IT Education como profesional e ingeniero de Big Data. Trabajó en NEC de Colombia como Jefe de Planeación Estratégica de Tecnologías y como Gerente de Cloud, Big Data y Ciberseguridad y fue presidente de la mesa de trabajo de Cloud de CINTEL por dos períodos consecutivos. LinkedIn (https://www.linkedin.com/in/jorgecastro1967/)
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AiAi.care Code-Charity. (Lightning talk)
AiAi.care project aims to reduce Lung Cancer screening time by 90%, reduce screening cost by 90%, and improve survival probability by 5X through early detection.
AiAi team is building a CAD (Computer Aided Detection) algorithm that will scan Chest X-Rays using a Deep Learning models for Lung Cancer nodule detection and registration. AiAi.care will be world's first FDA approved, open-source CAD, and will be distributed for free to developing countries, charitable hospitals, and organizations like WHO.
Keyur K Mithawala is donating his nights and weekends to lead AiAi.care code-charity project as Deep Learning architect. His day-job is developing and running CampBX, USA’s first and oldest Bitcoin trading platform that has traded 20% of all Bitcoins in existence. Keyur obtained his MBA from University of Pittsburgh with Dean’s list honor, and Bachelor of Engineering from University of Pune with First class (top 15%).