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Curiosity-Driven Exploration in Reinforcement Learning

Last Updated: 25 June 2025

Curiosity-driven exploration is approach in reinforcement learning (RL) that addresses the challenge of sparse or delayed rewards by introducing internal, self-generated i...read more

AI-ML-DS With Python

XGBoost multiclass classification

Last Updated: 28 June 2025

XGBoost(Extreme Gradient Boosting) is a scalable and flexible gradient boosting framework that has consistently delivered top performance in both academic research and dat...read more

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Machine Learning

AI-ML-DS With Python

Scikit Learn Tutorial

Last Updated: 27 June 2025

Scikit-learn (also known as sklearn) is a widely-used open-source Python library for machine learning. It builds on other scientific libraries like NumPy, SciPy and Matplo...read more

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Machine Learning

Data Science Library

AI-ML-DS With Python

Language models are few-shot learners

Last Updated: 25 June 2025

Few-shot learning is a machine learning approach where a model learns to perform new tasks or recognize new categories using only a small number of labeled examples, rathe...read more

Machine Learning

Machine Learning

AI-ML-DS With Python

Flexible Clustering

Last Updated: 25 June 2025

Clustering is a fundamental task in unsupervised machine learning that involves grouping similar data points into clusters. Flexible Clustering refers to a set of modern t...read more

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Machine Learning

Machine Learning

AI-ML-DS With Python

Online and Offline Reinforcement Learning

Last Updated: 27 June 2025

Reinforcement Learning (RL) agents learn optimal behaviors by maximizing cumulative rewards through experience. The way agents acquire and use data divides RL into two maj...read more

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AI-ML-DS With Python

Page-Hinkley Method

Last Updated: 28 June 2025

The Page-Hinkley (PH) method is a statistical change detection algorithm used to detect sudden changes in the average mean of a time series or data stream. It is widely us...read more

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AI-ML-DS With Python

Attention and Memory in Deep Learning

Last Updated: 28 June 2025

In deep learning attention and memory are two important ideas that help machines understand and work with information more effectively. These ideas are inspired by how the...read more

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AI-ML-DS With Python

Text Classification Using NLTK

Last Updated: 28 June 2025

Text classification is a fundamental task in Natural Language Processing (NLP) that involves assigning categories or labels to text based on its content. One of the most a...read more

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Natural-language-processing

AI-ML-DS With Python

Grouped Query Attention (GQA)

Last Updated: 26 June 2025

Grouped Query Attention (GQA) is an optimization technique for transformer models that balances computational efficiency and model performance. Inspired by the multi-head ...read more

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AI-ML-DS With Python

Sequential vs Functional API in Keras

Last Updated: 26 June 2025

Keras provides two main ways to build deep learning models: the Sequential API and the Functional API. Both are part of the Keras high-level API, but they differ in terms ...read more

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AI-ML-DS With Python

Adaptive Optimization in ML

Last Updated: 28 June 2025

Adaptive Optimization in Machine Learning is a set of techniques that automatically adjust the learning rate during training. Unlike traditional methods like basic SGD tha...read more

Machine Learning

AI-ML-DS With Python

Variational Inference in Bayesian Neural Networks

Last Updated: 30 June 2025

Bayesian Neural Networks (BNNs) extend traditional neural networks by treating weights asprobability distributionsrather than fixed values. This approach quantifies uncert...read more

AI-ML-DS With Python

Introduction to Pyro

Last Updated: 01 July 2025

Pyro is an open source probabilistic programming library built on PyTorch. Pyro lets you define complex probabilistic models using Python code, combine them with deep lear...read more

Data Science Library

AI-ML-DS With Python

Feature Engineering for XGBoost Models

Last Updated: 01 July 2025

Feature engineering is the process of transforming raw data into meaningful features that better represent the underlying problem to predictive models, resulting in improv...read more

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Machine Learning

AI-ML-DS With Python

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