Graph-Based Taxonomy Finder

There are many ways of building out a semantic taxonomy of terms. One approach is using a graph representation with a machine learning approach. The below algorithm highlights a high-level approach to using a Word2Vec and Minimum Spanning Tree for building out a weighted graph for a taxonomy.

• Use Gensim to process data model which provides for generalizable context for terms
• Create distance file for terms using Gensim
• Use output file to feed into minimum spanning tree by edge relationships between vertex terms
• Visualize the weighted output graph in Gephi

KSQL

Streaming SQL for Kafka

Reactive Streams

Reactive Streams

Big Data Patterns

Big Data Patterns

Arcitura Training

Big Data School
Cloud School
SOA School

Generative Adversarial Networks

generative adversarial networks explained
generative adversarial networks
wikipedia - Generative adversarial networks
generative adversarial networks for beginners
introduction generative adversarial networks code tensorflow
generative adversarial networks demo
generative adversarial networks to make 8 bit pixel art
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really awesome gan
adversarial nets papers
generative models with adversarial networks
NIPS - Generative Adversarial Networks

Coursera Deep Learning Specialization

Coursera Deep Learning Specialization

ISWC

International Semantic Web Conference 2017

Important Dates