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Applying Deep Reinforcement Learning to Poker

Applying Deep Reinforcement Learning to Poker

Categories: Data Science | Tags: Algorithm, Deep Learning, Gaming, Machine Learning, Q-learning, Neural Network, Python

We will cover the subject of Deep Reinforcement Learning, more specifically the Deep Q Learning algorithm introduced by DeepMind, and then we’ll apply a version of this algorithm to the game of Poker…

By Oscar BLAZEJEWSKI

Jan 9, 2019

Apache Metron in the Real World

Apache Metron in the Real World

Categories: Cyber Security, DataWorks Summit 2018 | Tags: Algorithm, HDFS, Kafka, NiFi, Solr, Spark, Storm, Elasticsearch, pcap, RDBMS, Metron, SQL

Apache Metron is a storage and analytic platform specialized in cyber security. This talk was about demonstrating the usages and capabilities of Apache Metron in the real world. The presentation was…

By Michael HATOUM

May 29, 2018

Scaling massive, real-time data pipelines with Go

Scaling massive, real-time data pipelines with Go

Categories: Open Source Summit Europe 2017, Learning | Tags: Algorithm, Data structures, Go, Network, Pipeline, Protocols

Last week at the Open Source Summit in Prague, Jean de Klerk held a talk called Scaling massive, real-time data pipelines with Go. This article goes over the main points of the talk, detailing the…

By Arthur BUSSER

Nov 21, 2017

Definitions of machine learning algorithms present in Apache Mahout

Definitions of machine learning algorithms present in Apache Mahout

Categories: Data Science | Tags: Algorithm, Mahout, Сlassification, Clustering, Machine Learning, Hadoop

Apache Mahout is a machine learning library built for scalability. Its core algorithms for clustering, classfication and batch based collaborative filtering are implemented on top of Apache Hadoop…

By David WORMS

Mar 8, 2013

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