Abstract: The increase in both the frequency and complexity of cyber threats has made network security more difficult to manage. This research tackles the use of PySpark and Machine Learning ...

This feature demonstrates three visual card tricks that rely on clarity and presentation rather than complex sleight of hand. Designed to be approachable for beginners, each illusion is broken down in ...

Gain insights from all your data by querying across your entire data estate—SQL Server, Azure SQL Database, Azure SQL Data Warehouse, Azure Cosmos DB, MySQL, PostgreSQL, MongoDB, Oracle, Teradata, and ...

ABSTRACT: The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which ...

Earlier this year, Alfia Gitani, who runs a food stall in Depok, Indonesia, was looking for inspiration. The 26-year-old was tired of making the same food over and over. That’s when she found and ...

This project aims to predict the repayment ability of clients using alternative data, broadening financial inclusion for the unbanked population. The dataset used in this project is sourced from ...

Abstract: One area of human-computer interaction that has not been explored is the use of haptics in program tutorials. Many complex programs, such as 3D Studio Max, have crowded graphical user ...

This repository provides a set of self-study tutorials on Machine Learning for big data using Apache Spark (PySpark) from basics (Dataframes and SQL) to advanced (Machine Learning Library (MLlib)) ...