Machine learning
Department of Computer Science

Machine Learning (ML) is a branch of Artificial Intelligence that enables computers to learn patterns from data and make predictions or decisions without being explicitly programmed for every task.

How Machine Learning Works

  1. Data Collection – Gather relevant data.
  2. Data Preprocessing – Clean and prepare the data.
  3. Model Training – Train a machine learning algorithm using the data.
  4. Model Testing – Evaluate the model's performance.
  5. Prediction – Use the trained model to make predictions on new data.
INTRODUCTION TO CYBER SECURITY
Department of Computer Science

Cyber security is the practice of protecting networks, devices, and data from unauthorized digital access or attacks. It is essential in our hyper-connected world to safeguard sensitive information, prevent financial loss, and ensure business continuity against evolving threats like malware and phishing.