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Avoid Bottlenecks in distributed Deep Learning pipelines with Horovod
Categories: Data Science | Tags: Deep Learning, GPU, Horovod, Keras, TensorFlow
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Applying Deep Reinforcement Learning to Poker
Categories: Data Science | Tags: Algorithm, Deep Learning, Gaming, Q-learning, Machine 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…
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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…
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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…
Nov 21, 2017
Definitions of machine learning algorithms present in Apache Mahout
Categories: Data Science | Tags: Algorithm, Сlassification, Hadoop, Mahout, Clustering, Machine Learning
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