Machine

Introduction In today’s digital age, cybersecurity threats are becoming increasingly sophisticated, making it challenging for organizations to protect their networks, systems, and data. According to a report by Cybersecurity Ventures, the global cost of cybercrime is expected to reach $10.5 trillion by 2025, up from $3 trillion in 2015. To combat these threats, organizations are turning to Machine Learning (ML) for Security, a subset of artificial intelligence that enables systems to learn from data and make predictions or decisions without being explicitly programmed. ...

Introduction Machine Learning (ML) has become an integral part of modern technology, transforming industries and revolutionizing the way we live and work. However, as ML models become increasingly complex, the task of maintaining them has become a significant challenge. In fact, a study by Gartner found that by 2025, 85% of AI and ML projects will require maintenance, resulting in a significant increase in costs and resources. This is where ML maintenance comes in – the process of ensuring that ML models continue to perform optimally over time. In this article, we will explore the required skills for effective ML maintenance. ...