Notebooks have rapidly become the most important tool for data scientists. From exploratory data investigation to productionalization, notebooks now regularly factor into the entire data science pipeline. Jupyter notebooks, in particular, can be extremely valuable for crafting threat detection products in cybersecurity.
George Williams, Harini Kannan, and Alex Comerford demonstrate some of the capabilities they have developed at the intersection of data science and cybersecurity and explain how Jupyter notebooks play a central role in that effort. Specifically, they offer an overview of specialized extensions they have built for data scientists working in cybersecurity that can be used and deployed via JupyterHub.
George Williams is the Director of Data Science, an AI chip and embedded algorithms company. George has worked at the intersection of research and industry for two decades. He has published papers at major mathematics and AI conferences and holds several patents in computer vision and security.
Harini Kannan is a data scientist at cybersecurity company Capsule8, where she applies her skills in statistics, visualization, and machine learning to a broad range of threat detection and computer security problems. She enjoys using Python, Jupyterlab, R, and TensorFlow in her daily work.
Alex Comerford is a data scientist at cybersecurity company Capsule8, where he focuses on developing interactive and informative data visualizations to identify security issues in large-scale cloud environments. His interests include data science, data visualization, statistics, and machine learning.
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