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Category: Data Science

Data Science news

Data Science Posted onJune 30, 2018

KNIME Fall Summit in Austin, November 6-9, 2018 registrations now open!

Author: Matt Mayo Editor KNIME Fall Summit takes place Nov 6-9 in Austin, Texas. Registration is now open, and KDnuggets readers save 10% on top […] Read More

Data Science Posted onJune 30, 2018

Comparison of top data science libraries for Python, R and Scala [Infographic]

Author: Igor Bobriakov Data science is a promising and exciting field, developing rapidly. The area of data science use cases and influence is continuously expanding, […] Read More

Data Science Posted onJune 30, 2018

Introducing the IRONdb Prometheus Adapter

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Data Science Posted onJune 29, 2018

Las Vegas Data Innovation Summits

Author: Gregory PS Editor We’re bringing together 200+ leaders from the data & analytics industry for you to network, learn and to discuss the latest […] Read More

Data Science Posted onJune 29, 2018

Spatiotemporal modeling with R

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Data Science Posted onJune 29, 2018

Crossing the Big Data / Data Science Analytics Chasm

Author: Bill Schmarzo The key of any organization’s digital transformation is becoming more effective at leveraging data and analytics to power their business models. That is, […] Read More

Data Science Posted onJune 28, 2018

Top KDnuggets tweets, Jun 20-26: Detecting Sarcasm with Deep Convolutional Neural Networks

Author: Gregory PS Editor Also Cartoon: FIFA World Cup Football and Machine Learning; What is it like to be a #MachineLearning engineer in 2018? The […] Read More

Data Science Posted onJune 28, 2018

Market Alignment – An Application of Systems Theory for Organizations

Author: Don Philip Faithful The main components of systems theory that readers might remember are “inputs,” “processes,” and “outputs.”  The part that tends to get […] Read More

Data Science Posted onJune 28, 2018

The Good, Bad and Ugly: Apache Spark for Data Science Work

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Data Science Posted onJune 27, 2018

Explaining Reinforcement Learning: Active vs Passive

Author: Shweta Bhatt We examine the required elements to solve an RL problem, compare passive and active reinforcement learning, and review common active and passive […] Read More

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