
Physics-Informed Feature Engineering
A comprehensive guide to energy forms, SI measurement standards, and practical feature engineering strategies for data scientists building physics-aware ML models with real-world battery discharge example

A comprehensive guide to energy forms, SI measurement standards, and practical feature engineering strategies for data scientists building physics-aware ML models with real-world battery discharge example

Core signal processing operations that underpin all speech recognition and synthesis systems.

Introduction Time series analysis evolved from early astronomical observations and economic studies in the 1920s. Box and Jenkins revolutionized the field in the 1970s with ARIMA models, while the...

Project Management for ML Developpement

A simple Overview

Describing text operations and transformations in neural networks

Archived insight from languages before talking about natural languages

Explaining virtualisation & containerisation using a unix-based os

Introduction : Every data scientist requires data to perform their work. The process of collecting data can be challenging, especially when dealing with incompatible software or when a quick searc...

Describing Convolutional neural networks