Closing Keynote day 1 at PAPIs '16. See slides at http://prezi.com/hcfl-ryjt2vs/ Couldn't attend the conference? Get access to the other presentations' slides and videos at https://gumroad.com/products/fehon/
челендж~забей 9-ку
Снежный волк - Глава 1 (Улучшенная версия)
Top 10 Hardest Bosses in the Souls Series [Remastered]
Warden Call Betrayed | the callisto protocol (No Commentary)
How to Using Zenmap
[RU SUB] Коко и Мио реагируют на мем про мам Хололайва
Conway The Machine x Benny The Butcher x 38 Spesh |Type Beat| "170"
Scary Teacher 3D/Miss T is crazily obsessed with her hair. Add thing in her Shampoo to ruin her hair
Predicting the 2018 Oscar Winners with Machine Learning - Poul Petersen (BigML)
The future of machine learning is decentralized - Alex Ingerman (Google)
DIY Predictive Modeling Cluster with Kubernetes, Dask and JupyterHub - Olivier Grisel (INRIA)
Deep Learning at the edge with AWS DeepLens - Julien Simon (AWS)
Machine Learning, Technical Debt, and You - D. Sculley (Google)
Supercharging Deep Learning with the Unity Engine - Arthur Juliani (Unity)
Automated Machine Learning: Mostly Unhelpful - Charles Parker (BigML)
Scaling Machine Learning as a Service — LI Erran Li (Uber) at #papis2016
A renaissance for decision tree learning — Cynthia Rudin (Duke University) #papis2016
The privacy bounds of human behavior — Yves-Alexandre de Montjoye (MIT & Imperial College)
The emergent opportunity of Big Data for Social Good - Nuria Oliver (Telefonica) #PAPIsConnect
Machine Learning Services Benchmark: choosing the right tools - Inês Almeida #PAPIsConnect