Machine Learning

Types of Machine Learning Machine Learning encompasses algorithms and methodologies designed to enable computers to learn from data and make predictions or decisions without being explicitly programmed.   The main types of machine learning are as follows: Supervised Learning Unsupervised Learning Reinforcement learning Deep Learning Supervised Learning Supervised learning algorithms learn from labeled data, predicting […]

The machine learning life cycle is the end-to-end process of developing, deploying, and maintaining the ML model. ( Machine Learning model)

Introduction to Machine Learning Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make decisions without being explicitly programmed. Instead of following fixed instructions, ML algorithms identify patterns in data and use them to make predictions or take actions. Machine Learning is used in various applications, […]

ML Model Drift Model drift, also known as Model decay is changes in the performance or behavior of a machine learning( ML ) model over time due to changes in the underlying data distribution or relationships between inputs and outputs. It can result in degraded performance and incorrect predictions if not addressed effectively. Types of […]