Data Science for Security
Microsoft Threat Intelligence Podcast
Emerging Trends in Data Science and Security
This chapter explores the current interests and trends in data science and security, emphasizing the preference for practical applications and simple yet effective methods. It discusses the growing fascination with novel data usage and problem-solving techniques, focusing on the application of permissions data and graph-based methods for enhancing security. Additionally, the evolution of trust in machine learning models within the security industry and the importance of interpretability for effective data analysis and model understanding are highlighted.
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