Machine Learning

Machine Learning for Fraud Prevention

According to a report, fraud cost the worldwide economy £3.2 trillion in 2018. For certain organizations, misfortunes to fraud arrive at over 10% of their total spending. Such enormous misfortunes push organizations to scan for new solutions to avoid, identify,

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Deep Learning Outperforming Classic ML Methods, Says Report

A report “Deep Learning: Opportunities and Best Practice” by Peltarion which is a leading AI innovator and creator of operational deep learning platform and AI knowledge Network CognitionX, organizer of the CogX festival of AI and emerging technology, illustrates that

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Machine Intelligence: An Evolved Version of ML and AI with Better Prioritization

As the world heads towards increased efficiency and productivity through disruptive technologies, some of them are revising themselves with enhanced attributes offering better services and effectiveness. Machine Intelligence is one such technology that has risen from the advancement and evolution

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Top 5 AutoML Tools Easing Out Machine Learning for Non-Experts

The boons of machine learning have been leveraged in the industry in the past many years. With its increasing implementation, the ML tools have also evolved with time. Today, people can easily work with machine learning owing to its easy-to-use,

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How to Ensure Data Security in Organizations?

The cybersecurity world is progressing at high speed. At the same time, innovation in technologies is becoming increasingly better to combat cyber-criminals and hackers to exploit data security loopholes. Both Artificial intelligence and machine learning are now offering high applications

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Significance of Data Transformation in Machine Learning

Machine Learning advancements allow enterprises to process and comprehend their data much faster using modern tools with validated algorithms. But that data can be intricate and chaotic in its raw state. Thus, some form of data transformation here is required

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4 Important ML Keys and Principles for Fraud Prevention

Fraud attacks are getting to be progressively sophisticated– as innovation advances, fraudsters have raised their game on payment fraud and money laundering. With access to faster and less expensive computing, fraudsters have moved their objectives to more beneficial weaker points

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Human Activity Prediction Using Machine Learning

1. Objective: The objective of this study is to analyse a dataset of smartphone sensor data of human activities of about 30 participants and try to analyse the same and draw insights and predict the activity using Machine Learning. We

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How ML Improves the Back-Office Operations in an Enterprise

An enterprise consists of large, complex and process-centric systems including think finance, Robo-advisors, accounting, operations, human resources, and procurement which use and produce a hefty amount of structured and unstructured data. There is a need to handle these in new

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Teaching Machines to Learn Language and Think More Like a Human

Learning language is the task of syntactic and semantic parsers in computing. These systems are trained on sentences annotated by humans that define the structure and meaning behind words. But gleaning the annotation data can be time-consuming and complex for

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