Support Vector Machines (SVM) in Simple Words

Trustworthy AI for Real-World Impact

CPMAI® Phases: The AI Project Lifecycle Explained

Supervised Machine Learning: K-Nearest Neighbors (KNN)

Reinforcement learning (RL) is a branch of machine learning where an agent learns to make decisions by interacting with an environment. Instead of learning from fixed examples, the agent receives rewards or penalties for its actions and gradually discovers which strategies lead to better long-term outcomes. RL is widely used in robotics, game...

Cross-validation is one of the most important concepts in machine learning and data science, yet it is often misunderstood. Whether you are a student, a data analyst, 'or a machine learning practitioner, understanding cross-validation helps you build models that truly generalize to real-world data.

🎭 1. OVERFITTING = Too much focus on the past

👉 Classification predicts a category or class.

1. Historical Bias (or Systemic Bias)

Exploring the Seven Patterns of AI: Transforming the Future of Technology