Jim offers a positive outlook at what the software industry have been going through with application security and how it has improved. EVENT: AppSecCali 2019 SPEAKER: Jim Manico PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=L07ljIFbRCY https://www.youtube.com/watch?v=fhH8LiwhJ1U

This talk covers three major ML problems Stripe faced (and solved!) in building its credit card fraud detection system: choosing labels for fraud that work across all merchants, addressing class imbalance (legitimate charges greatly outnumber fraudulent ones), and performing counterfactual evaluation (to measure performance and obtain training data when the ML system is changing outcomes itself). EVENT: PyData NYC 2018 SPEAKER: Leela Senthil Nathan PERMISSIONS: PyData Organizer provided Coding Tech with the permission to republish this video. CREDITS: PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=GPWB72fSY_o

We know public WiFi shouldn't be trusted, but why? What are the risks when do you connect to a coffeeshop network and how can you protect yourself for them? 📚 Sources
This video would not be possible without the work of others. Check citations here: https://savjee.be/videos/simply-explained/why-is-free-wifi-dangerous/ 🎵Music: Ticker by Silent Partner
https://youtu.be/K0_VDom80DM 🌍 Social
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