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/
[FREE FOR NON PROFIT] Menace Santana x Freeze Corleone x Lewnwv - Drill Type Beat | '909'
[free for profit] glaive x ericdoa hyperpop type beat - "three wheels and it still drives!"
BGMI - INTERNATIONAL BHAGODA! - NO PROMOTION
Part_2_Getting Started with Pandas: An Introduction to Data Manipulation in Python"
Mr. House's Reaction After You Kill Caesar
Push the talking trashcan at Walt Disney World
Magogo Christmas Blues Gorilla
Gaming Funk: Beercast Episode 4 (Part 1) 2
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