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Big Data

Graph Analytics to Reinforce Anti-fraud Programs

Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics...

5 reasons why graph visualization matters

Why is graph visualization so important? How can it help businesses sifting through large amounts of complex data? We explore the answer in...

New Books in AI, Machine Learning, and Data Science

We are in the process of writing and adding new material (compact eBooks) exclusively available to our members, and written in simple English,...

AI-enabled enterprise starts with education, not tech

The AI-enabled enterprise won't be built in a day. Take it from representatives at companies knee-deep in building... AI hardware, software and services...

Customer engagement strategies that heed power of social media

The power of social media to alter customer engagement strategies -- for a product rollout, an executive hire, a policy change -- is...

Microsoft and corporate activism

BOSTON -- Artificial intelligence needs to eat, breathe and sleep data to be effective. By that measure, the company... -- or country --...

Finding insights with graph analytics

From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information that would otherwise...

Run Deep learning models for free using google colaboratory

What is Google Colab: We all know that deep learning algorithms improve the accuracy of AI applications to great extent. But this accuracy comes...

AI models could help companies overcome human bias

Machine learning algorithms can reinforce human bias, but representatives from HireVue Inc. and Kantar Millward... Brown recently argued that they may also be...

Who cares if unsupervised machine learning is supervised learning in disguise?

Previously, we saw how unsupervised learning actually has built-in supervision, albeit hidden from the user. In this post we will see how supervised and...

Free Book: Applied Stochastic Processes

Full title: Applied Stochastic Processes, Chaos Modeling, and Probabilistic Properties of Numeration Systems. Published June 2, 2018. Author: Vincent Granville, PhD. (104 pages, 16...

Invitation to Join Data Science Central

Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical and statistical professionals: Sign up...

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