<span class="vcard">V Sharma</span>
V Sharma

Machine Learning – Changing Payments Security Landscape

Payments Security Landscape – The risk of info security on data, application logic, and financial value losses are continually growing fast. For this reason, Artificial Intelligence and machine learning-based infosec tools for banking and mobile payments are getting huge attention. Starting from risk underwriting to credit rating & scoring […]

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Machine Learning an underlying technology for PaymentIntelligence

PaymentIntelligence – The payments we make today do not get analysed at backend though our money has gone far from being a tangible item to just mere electronic bits and bytes. Our world, lifestyle, spending habits and almost all activities we do in a day are increasingly becoming simple yet […]

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Top Machine Learning Algorithms – Data Scientist Basic Tool Kit

Data science is neither magic nor rocket science, it does not create or invent any new information or facts. Data science helps us to make some sense of what’s already in front of us hidden in our data. Machine learning and its algorithms are either supervised or unsupervised as of today but the future really lies in reinforcement learning.

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Data Analytics Basics – Introduction to Data Science For Marketeers

How AI and ML are now changing the work style and methodologies of marketing. Digital marketing cannot be run as just a computerised version of the traditional market or print media.

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Supervised vs Unsupervised Machine Learning

Supervised vs Unsupervised Machine Learning – Both of them are very popular machine learning algorithms currently in use. Supervised learning is all about labelled data where its algorithm does reverse engineering work as compared to traditional programs i.e it predicts/maps the output to the input data.  Unsupervised is all about […]

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Deep Learning – Backpropagation Algorithm Basics

Backpropagation Algorithm – An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole idea of training multi-layer perceptrons is to compute the derivatives of the error function or gradient descent with respect […]

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Machine Learning – Introduction to Regression Analysis

Another problem learners encounter or build wrong perception at beginning of learning stage is type of regressions. Often learners struggle to differentiate between the only regression method and the most useful or popular recession algorithms

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Machine Learning – It all Boils Down to the Training Data

Training Data – There is a famous punch line about Data. “Data is not good enough if it’s not a quality data”. If your data model is not working or performing as expected blame your data and data source. Instead of struggling to find an opportunity for performance […]

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Deep Learning – Introduction to Recurrent Neural Networks

“Artificial neural networks (ANNs) are biologically inspired computing code with number of simple, highly interconnected processing elements for simulating human brain workings to process information model”.

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Deep Learning – Mandate for Humans, Not Just Machines

Deep Learning terminology can be quite overwhelming to newcomers.. This blog post covers important aspect of deep learning which can be defined as set of techniques that uses neural networks to simulate human decision-making skills. #AILabPage

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