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Business Problem: A mid-sized clinic has been running its appointment booking and patient records system on-premises for over a decade. The system is built with a desktop front-end and a local SQL Server database. Recently, they鈥檝e faced issues like:...
馃摌 Phase 1: GitHub Actions Basics Introduction to GitHub Actions What are Actions, Workflows, Runners YAML syntax overview Create your first workflow Simple CI to echo a message or run a shell script Triggering on push, pull_request, and sche...
Scenario Imagine you鈥檙e part of a development team tasked with building a secure Node.js application. Your organization wants to shift left on security, ensuring vulnerabilities are caught early in the development lifecycle. This guide walks through ...
Objective This lab will guide students through the practical use of hash functions to ensure data integrity, file verification, and password security using Kali Linux. Prerequisites Kali Linux installed (physical machine or virtual environment) Bas...
1. What is Deep Learning (DL)? Deep Learning (DL) is a subset of Machine Learning (ML) that uses artificial neural networks (ANNs) with multiple hidden layers to learn patterns from data. Deep Learning enables machines to perform complex tasks such a...
1. What is Reinforcement Learning (RL)? Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with its environment and receiving feedback in the form of rewards or penalties. The agent's goal...
1. What is the Bee-Hive Algorithm? The Bee-Hive Algorithm is a swarm intelligence-based optimization algorithm inspired by the foraging behavior of honey bees. It mimics how bees search for food sources (nectar) and share information about their qual...
1. What is a Boltzmann Machine (BM)? A Boltzmann Machine (BM) is a type of stochastic recurrent neural network that is used for unsupervised learning, feature learning, and combinatorial optimization. It is a generative model that learns a probabilit...
1. What is Probabilistic Reasoning? Probabilistic reasoning is a method of reasoning where the uncertainty of events is quantified using probabilities. It allows us to infer the likelihood of events based on known data, evidence, or previous occurren...