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Slide 23 text
Microsoft
• Problem: Meetings, User research
• Data gathering: Telemetry, Databases, Public datasets,..
• Data cleaning : Python, R, Matlab, ...
• Exploration: Juypter notebooks, SQL,
• Feature engineering: Spark, Pandas
• Modeling: Tensorflow, Pytorch, Spark, Pandas , Sklearn, …
• Visualization & Presentation: Tableau, Powerpoint, Dashboards,…
• Action: New Product features,