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Markov Decision Process (MDP)
Markov Decision Process (MDP)Date: 06 Oct 2025IntroductionA Markov Decision Process is a mathematical framework used for decision-making problems where outcomes
Ashutosh KumarAuthor
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NLP
Natural Language Processing (NLP)NLP and Text ProcessingNLP stands at the intersection of linguistics, computer science, and AI. It enables machines to understa
Abhishek SinghAuthor
2 MIN READ•
All pairs shortest path (Floyd's)
All Pairs Shortest Path (Floyd-Warshall Algorithm)IntroductionFor a given connected weighted graph , the All Pairs Shortest Path (APSP) problem aims to find the
Abhishek SinghAuthor
2 MIN READ•
LSTM (Long Short term memory)
LSTM (Long Short-Term Memory)LSTM is a special type of recurrent neural network designed to efficiently learn and retain long-term dependencies in sequential da
Abhishek SinghAuthor
3 MIN READ•
Convolutional neural network (CNN)
Convolutional Neural Networks (CNNs)IntroductionCNNs are a specialized type of neural network mainly designed for image processing and classification.They work
Ashutosh KumarAuthor
2 MIN READ•
(RNN) Recurrent neural network
Recurrent Neural Network (RNN)A Recurrent Neural Network (RNN) is a type of neural network designed to handle sequential data. Unlike traditional feed-forward n
Abhishek SinghAuthor
4 MIN READ•
Ensambling Learning
Ensembling LearningDefinition:Ensemble learning is a machine learning technique where multiple models are combined to produce a better overall prediction than a
Divya SachanAuthor
9 MIN READ•
Loss Function
Loss Functions:Loss functions help, how a machine learning model is performing with its given data, and how well it's able to predict an expected outcome. Many
Abhijeet Singh RajputAuthor
2 MIN READ•
Perceptron
PerceptronThink of the Perceptron as a simple decision-maker—it looks at inputs, weighs their importance, and makes a yes-or-no judgment. It was one of the firs
Abhijeet Singh RajputAuthor
2 MIN READ•
Artificial Neural Network
Brain and Perceptrons:Biological learning systems are built from a very complex web of interconnected neurons.The human brain has an immensely connected network
Divya SachanAuthor
1 MIN READ•
Bayesian Classifier (naive Boryes)
Bayesian ClassifierGiven the training data set, use naive Boryes algorithms to classify a particular species if its features are (slow, rarely, no).s.noSwimFlyC
Divya SachanAuthor
3 MIN READ•
How Machine Learns?
LearningA computer program/algorithm (system/model) is said to learn from experience 'E' with respect to some class of tasks 'T' and performance measure 'P' if
Divya SachanAuthor