Rajil TL

Rajil TL is a SenseCentral contributor focused on tech, apps, tools, and product-building insights. He writes practical content for creators, founders, and learners—covering workflows, software strategies, and real-world implementation tips. His style is direct, structured, and action-oriented, often turning complex ideas into step-by-step guidance. He’s passionate about building useful digital products and sharing what works.

2861 Articles

Supervised Learning

As the name suggests, supervised learning takes place under the supervision of a teacher.…

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Learning and Adaptation

As stated earlier, ANN is completely inspired by the way biological nervous…

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Artificial Neural Network – Building Blocks

Processing of ANN depends upon the following three building blocks − Network…

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Artificial Neural Network – Basic Concepts

Artificial neural networks (ANNs) or connectionist systems are computing systems inspired by the biological neural networks that constitute…

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Distributed Reasoning

Introduction There are many reasons why we might want to implement or…

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Bayesian networks

These are also called Belief Networks or Probabilistic Inference Networks. Initially developed by Pearl (1988).…

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Dempster-Shafer Models

This can be regarded as a more general approach to representing uncertainty…

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Belief Models and Certainty Factors

This approach has been suggested by Shortliffe and Buchanan and used in…

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Basic Statistical methods — Probability

The basic approach statistical methods adopt to deal with uncertainty is via…

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Symbolic versus statistical reasoning

The (Symbolic) methods basically represent uncertainty belief as being True,False, orNeither True nor…

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