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Author: Naveen Joshi

Multi-factor authentication for multi-faceted frauds

March 24, 2017 by Naveen Joshi

One of the major problems with traditional user ID and password login is the need for maintaining a password database. Whether that password is encrypted or not, if the database…

Technology
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3 applications of Deep Learning in Big Data analytics

March 23, 2017 by Naveen Joshi

Big Data has now become important as several organizations are collecting massive amounts of domain-specific information that can be used to solve problems related to national intelligence, cyber security, fraud…

IOT
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3 things to know about artificial neural nets

March 22, 2017 by Naveen Joshi

Artificial neural networks are characterized by neurons that can be tuned by a learning algorithm. This learning algorithm is able to learn from observed data in order to improve the…

IOT
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4 benefits of using artificial neural nets

March 21, 2017 by Naveen Joshi

An artificial neural net is an information processing paradigm whose working is similar to the working of biological nervous systems. The key element of an artificial neural network is the…

IOT
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How machine learning is revolutionizing the supply chain industry

March 20, 2017 by Naveen Joshi

Machine learning in supply chain is equipping the industry with better analysis and planning, resulting in reduced costs and improved efficiency. Machine learning’s core technology aligns very well with the…

IOT
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A new paradigm for machine learning: probabilistic programming

March 19, 2017 by Naveen Joshi

Machine learning has been the driving force behind several recent revolutions in computing. Many features like email spam filters, chat bots in smart phones and self-driving vehicles are all based…

IOT
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4 things you need to know about IMDG technology

March 18, 2017 by Naveen Joshi

IMDG technology has reached a notable level of maturity that has increased its industry adoption. IMDG technology provides a distributed, lightweight and a scalable memory object store. This memory object…

Big Data
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