GeeksforGeeks

Last Updated: 04 August 2025

Manually creating test data for software application and machine learning (ML) models is slow, error-prone, and often fails to capture real-world complexity. This is espec...read more

Data Science

Docling: Make your Documents Gen AI-ready

Last Updated: 04 August 2025

A massive amount of the world's knowledge is trapped in documents—PDFs, Office files, and scans that our AI models can't easily understand. Standard tools often just rip o...read more

Data Science

Visualizing Classifier Decision Boundaries

Last Updated: 06 August 2025

Visualizing classifier decision boundaries is a way to gain intuitive insight into how machine learning models separate different classes in a feature space. These visuali...read more

Machine Learning

AI-ML-DS With Python

Kuberflow vs. MLflow

Last Updated: 06 August 2025

Kubeflow and MLflow are both tools for managing the machine learning lifecycle but they serve different purposes. Kubeflow is designed for building, deploying and managing...read more

Machine Learning

AI-ML-DS With Python

Preprocessing Scraped Data

Last Updated: 01 August 2025

In real-world web scraping projects, we often collect raw data from websites like Naukri.com or Glassdoor. This data can be messy containing empty fields, inconsistent for...read more

python

Web Scraping

Huber Loss Function in Machine Learning

Last Updated: 01 August 2025

The Huber Loss Function is a popular loss function used primarily in regression tasks. It is designed to be robust to outliers combining the best properties of two common ...read more

Machine Learning

AI-ML-DS With Python

Living Intelligence

Last Updated: 31 July 2025

Living Intelligence refers to adaptive, self-organizing and evolving intelligence found in biological systems. It combines perception, memory, learning and autonomous deci...read more

AI Tools

Artificial Intelligence

Life2Vec AI - Predicting Death Using AI

Last Updated: 01 August 2025

Life2Vec is an AI model developed by researchers in Denmark and the U.S. that predicts human life outcomes such as the risk of death by analyzing detailed life event data....read more

Artificial Intelligence

AI-ML-DS With Python

Implementing Custom Layers and Activation Functions in TensorFlow

Last Updated: 06 August 2025

TensorFlow is a flexible deep learning framework that supports both predefined and user defined components. While standard layers and activation functions work well for ma...read more

Deep Learning

AI-ML-DS With Python

cuML : RAPIDS Machine Learning Library

Last Updated: 06 August 2025

cuML is a GPU accelerated machine learning library developed by NVIDIA as part of the RAPIDS AI ecosystem. It is designed to enable fast and scalable execution of traditio...read more

Machine Learning

AI-ML-DS With Python

Incremental Learning with Scikit-learn

Last Updated: 31 July 2025

Incremental Learning is a technique where a machine learning model learns from data in small chunks or batches rather than all at once. This is useful when working with ve...read more

Machine Learning

AI-ML-DS With Python

Collaborative AI agents for learning

Last Updated: 31 July 2025

Collaborative AI agents also known as multi-agent or crew AI systems represent an advanced paradigm in artificial intelligence where autonomous entities cooperate to solve...read more

Artificial Intelligence

AI-ML-DS With Python

Statistical Evidence

Last Updated: 02 August 2025

Statistical evidence refers to information derived from data that is analyzed using statistical techniques to draw conclusions, test hypotheses or support decision making....read more

Data Science

ML-Statistics

Video Vision Transformer (ViViT)

Last Updated: 01 August 2025

TheVideo Vision Transformer (ViViT)is a milestone architecture that extends the success of the Vision Transformer (ViT) from image understanding to video understanding tas...read more

Computer Vision

AI-ML-DS With Python

ARCH: Autoregressive Conditional Heteroskedasticity

Last Updated: 29 July 2025

ARCH is a statistical model used to analyze time series data where the variance changes over time. It was introduced by Robert Engle in 1982 mainly for financial data like...read more

Data Science

ML-Statistics