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Machine Learning Implications for Intelligence & Insights - An E-Learning Event
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 Export to Your Calendar 10/26/2017
When: Thursday October 26, 2017
10:00am Eastern Time
Where: This is an E-Learning Event. Access information will be provided after registration
United States
Contact: Michelle Winter


Online registration is available until: 10/26/2017
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Machine Learning Implications for Intelligence and Insights

with

Comintelli's Jesper Martell and Hewlett Packard Enterprise's Paul Santilli

Thursday, October 26, 2017

10:00am eastern

This interactive webinar describes how Machine Learning (ML) can be applied to solve intelligence problems.  Machine Learning is often expressed in different ways (e.g. Artificial Intelligence (AI), predictive analytics, data-mining, deep learning, forecasting, Natural Language Processing, Simulations), but basically it is all about algorithms that analyze data to find models that can be used to predict outcomes or understand context with significant accuracy and improve or “learn” as more information is made available. The question is how this can be applied in the intelligence world.

  1. What is a Machine Learning algorithm?
  2.  How can new ML/AI technologies augment our intelligence capabilities?
  3. What are some of the challenges and risks of ML?

 

Featured Members
Paul Santilli, Hewlett Packard Enterprise2017 SCIP Distinguished Member Award Recipient - Practitioner
Peter Grimm, Cipher Systems LLC2017 SCIP Distinguished Member Award Recipient - Solutions Provider

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