Rise in cyber-attacks has prompted organizations to change to a smarter & more proactive approach to cyber security. ML is a component of a larger AI ecosystem, & has really disrupted our thinking around cyber security. This chapter will examine the application of ML in the domain of cyber...

In the intricate landscape of digital forensics, the integration of machine learning has ushered in a transformative era. Digital forensics is a discipline concerned with the recovery, analysis, and presentation of digital evidence in a manner that is legally admissible. The field is...

The implementation of Machine Learning (ML) and Artificial Intelligence (AI) in the financial sector has led to a transformative shift in the industry which redefines traditional practices. These modern technologies have enabled financial institutions to make use of large amounts of data for...

Chapter 1. Machine Learning in Finance: Transformation of Financial Markets (Musa Gün) -- Chapter 2. Digital Currencies and Financial Transformation (Bilal Bagis) -- Chapter 3. A Hybrid ARIMA-LSTM/GRU Model for Forecasting Monthly Trends in Turkey’s Gold and Currency Markets with a...

The features of the application of machine learning methods in information security tasks and development prospects and future trends are considered. The article analyzes the application of a machine learning model to detect attacks in the field of information security using the...

Purpose - This study investigates the application of machine learning (ML) techniques in predicting firm performance, responding to the challenges posed by the large volumes of data required for accurate predictions. It aims to assess the effectiveness of various ML methods and algorithms used...