Anomaly Detection in Machine Learning: Classification Algorithms vs Anomaly Detection

Anomaly simply means something unusual or abnormal. We often encounter anomalies in our daily life. It can be suspicious activities of an end-user on a network or malfunctioning of equipment. Sometimes it is vital to detect such anomalies to prevent a disaster.
Anomaly Detection in Machine Learning: Classification Algorithms vs Anomaly Detection

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Understanding Supervised Machine Learning

Machine learning is about using data to build intelligent artefacts that learn over time. It involves collecting and analysing large amounts of data to extract information using various computational structures and algorithms.
Understanding Supervised Machine Learning

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Storage Analytics is becoming more complex – can AI and ML help?

Physical servers and storage equipment are a data center reality. How can we ensure that the workloads are distributed correctly across this infrastructure?AI and Machine Learning can come to the rescue here as well. With these technologies, data centers can distribute workloads equally and efficiently across these servers.
Storage Analytics is becoming more complex – can AI and ML help?

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Where AI and ML Meet – and where they diverge

Simple explanations of Machine Learning and Artificial Intelligence, and how they’re related... but not at all the same thing.
Where AI and ML Meet – and where they diverge

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Evolvement of Kubernetes to Manage Diverse IT Workloads

This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.
Evolvement of Kubernetes to Manage Diverse IT Workloads

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[Infographic] Gartner’s Top 10 Strategic Technology Trends for 2019

Infographic on Gartner's tech trends 2019
[Infographic] Gartner’s Top 10 Strategic Technology Trends for 2019
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Comprehending Edge Intelligence with Regards to IT Infrastructure

Author interviewed the CTO of Edge Intelligence firm Swim.ai, Simon Crosby. A discussion was about what are the basics of Edge computing, how analytics helps in making ecosystems intelligent to respond to events, how storage will get revolutionized, how upcoming 5G network features will have impact on edge intelliegence, etc
Comprehending Edge Intelligence with Regards to IT Infrastructure

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Towards the Intelligent Network Security with Software Defined Networking (SDN)

This article talks about how SDN technology helps in network security and how SDN is evolving to use machine learning based intelligence to perform security operation in a highly automated way. Article throws lights on Intent Based Networking (IBN) which helps scaling and deployment of network resources in an agile manner.
Towards the Intelligent Network Security with Software Defined Networking (SDN)
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Let’s re:Invent Global Cloud Computing

AWS re:Invent 2017 is to kick off in a few days in Las Vegas from Monday, November 27th to Friday , December 1st 2017. AWS re:Invent is a learning conference for the global cloud computing community and attracts Amazon’s top customers, software distribution partners (ISVs) and AWS MSPs. It has four-and-a-half days of content across six venues in
Let’s re:Invent Global Cloud Computing
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Machine Learning – The Data Science Used by Computers to Learn From Data

What is Machine Learning, as per Arthur Samuel way back in 1959: “[Machine Learning is the] field of study that gives computers the ability to learn without being explicitly programmed.” Machine Learning is an algorithm or program that read data, analyse it, identify the pattern and base on analysis it will perform operations, it will change rest of its flow, , it will do suggestions & recommendations.
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