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Philipp

Philipp Drieger

Philipp Drieger works as a Principal Machine Learning Architect at Splunk. He accompanies Splunk customers and partners across various industries in their digital journeys, helping to achieve advanced analytics use cases in cybersecurity, IT operations, IoT and business analytics. Before joining Splunk, Philipp worked as freelance software developer and consultant focussing on high performance 3D graphics and visual computing technologies. In research, he has published papers on text mining and semantic network analysis.

Deep Learning Toolkit 3.2 - グラフィック、RAPIDS、Sparkなど

データを可視化したい、データサイエンスサイクルを加速させたい、Sparkのお気に入りのMLlibアルゴリズムを活用したい、そんな皆様に朗報です。最新バージョンのDeep Learning Toolkit for Splunk (DLTK)は、そのいずれのユースケースにも対応します。