Monitoring and analysis of various performance metrics, traffic measurements, and log data is a key issue for quality assurance and reliable service delivery. Traffic monitoring, log data analysis, and forensic analysis are key challenges for cyber security and we have mainly relied on tailor-made specific algorithms. However, research in machine learning algorithms has made significant progress in recent years. Unlike traditional algorithms that can be thought of as a set of rules or instructions specified by a computer programmer that the computer can process and need to be programmed for a specific task in a hand-crafted manner, machine learning algorithms learn from experience, represented as datasets, and learn in different learning modes such as unsupervised learning, supervised learning, and reinforcement learning to improve the performance of tasks such as classification, regression, anomaly detection, and synthesis.