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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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Artificial Intelligence is the Future for CyberSecurity

The Appeal of AI for Cyber Security has extremely good reasons like automation of operational tasks, develop & delivering predictive capabilities, mitigating human biases behaviour and derive actionable intelligence. On the down side AI requires high volumes of high quality data to learn.

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Harnessing Technology To Kill User Privacy

Somebody mentioned it to me some time back and I laughed then. The day you decided to come online you actually accepted “No to privacy”. Now its even worse as we can even use radio signals to see through walls so no need to be online. Signals now can be used to monitor a person’s precise movements through a solid wall. What else and  how far we will go cant answer now. But all these development for sure has its pros and cons sides.

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Demystifying Deep Learning – Back to Basics

Deep learning is a learning scheme that approaches the learning problem by learning the underlying representations; too much of learning. I thats why its also called as representation learning.

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Uncovering Anxious Deep Learning for Ease

A technique for implementing machine learning.  At the same time I also claim It is absolutely wrong to call Deep Learning as Machine Learning (in my personal opinion). The techniques is to achieve a goal not necessarily come out of same goal.  #AILabPage

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Why GDPR will Make Machine Learning not so legal

Does GDPR require Machine Learning algorithms to explain their output? may be yes may be no or in short Probably not, but there is enough ambiguity to be clarified and keep DataScientists, Lawyers, industry influencers busy.

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