Канал: PAPIs.io

PAPIs LATAM 2019 - Teaser - June 25-26, São Paulo

PAPIs LATAM 2019 - Teaser - June 25-26, São Paulo

Where can I park? Deep Learning is here to help you! - Luis F Gomez Gonzalez (Konker)

Where can I park? Deep Learning is here to help you! - Luis F Gomez Gonzalez (Konker)

Scaling Bayesian Inference - Max Livingston (Freebird)

Scaling Bayesian Inference - Max Livingston (Freebird)

Automated ML Pipelines For Unseen Customer Data - Kevin Moore (Salesforce)

Automated ML Pipelines For Unseen Customer Data - Kevin Moore (Salesforce)

Machine Learning Interpretability in the GDPR Era - Gregory C. Antell (BigML)

Machine Learning Interpretability in the GDPR Era - Gregory C. Antell (BigML)

AI-based Assistant for Business Process Outsourcing - Leonardo Valeriano Neri (Accenture)

AI-based Assistant for Business Process Outsourcing - Leonardo Valeriano Neri (Accenture)

Hindsight bias: A machine learning story - Mayukh Bhaowal (Salesforce Einstein)

Hindsight bias: A machine learning story - Mayukh Bhaowal (Salesforce Einstein)

Extracting Entities and Relations in Portuguese Documents - Natalie Vargas (Accenture)

Extracting Entities and Relations in Portuguese Documents - Natalie Vargas (Accenture)

The Right Amount of Trust for AI - Chris Butler (Philosophie)

The Right Amount of Trust for AI - Chris Butler (Philosophie)

Panel: Kaggle as stepping stone for a Data Scientist career

Panel: Kaggle as stepping stone for a Data Scientist career

Panel: ML Ecosystem in Brazil

Panel: ML Ecosystem in Brazil

Deep Recommender Systems - Gabriel Moreira (CI&T)

Deep Recommender Systems - Gabriel Moreira (CI&T)

Genetic Programming in the Real World - Leonardo Trujillo and Daniel E. Hernández (ITT)

Genetic Programming in the Real World - Leonardo Trujillo and Daniel E. Hernández (ITT)

Solving the organizational challenge of predictive APIs - Lars Trieloff (Adobe)

Solving the organizational challenge of predictive APIs - Lars Trieloff (Adobe)

Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)

Machine Learning applied to judicial decisions - Danilo Mendes & Yan Teixeira (Legal Labs)

How Artificial Intelligence has changed your life - Fabio Scopeta (Microsoft)

How Artificial Intelligence has changed your life - Fabio Scopeta (Microsoft)

Document Reader using Deep Learning - Pedro Augusto Lopes Barbosa (Accenture)

Document Reader using Deep Learning - Pedro Augusto Lopes Barbosa (Accenture)

Science Fiction and Fact: How to undermine AI dystopia - Bianca Ximenes (UFP)

Science Fiction and Fact: How to undermine AI dystopia - Bianca Ximenes (UFP)

From data to AI with the Machine Learning Canvas - Louis Dorard (PAPIs)

From data to AI with the Machine Learning Canvas - Louis Dorard (PAPIs)

Towards Author Profiling - Jose Ahirton Lopes (Duratex)

Towards Author Profiling - Jose Ahirton Lopes (Duratex)

Bayesian Deep Learning and Flight Delay Prediction - Sam Zimmerman (Freebird)

Bayesian Deep Learning and Flight Delay Prediction - Sam Zimmerman (Freebird)

Graph Mining with Deep Learning - Ana Paula Appel (IBM)

Graph Mining with Deep Learning - Ana Paula Appel (IBM)

Adversarial Attacks for ML/DL - Eduardo Valle ( UNICAMP)

Adversarial Attacks for ML/DL - Eduardo Valle ( UNICAMP)

Ensemble Techniques for High Performance Machine Learning - Gilberto Titericz (Ople)

Ensemble Techniques for High Performance Machine Learning - Gilberto Titericz (Ople)

PAPIs.io LATAM 2018 - Full Conference Day 1

PAPIs.io LATAM 2018 - Full Conference Day 1

PAPIs.io LATAM 2018 - Full Conference Day 2

PAPIs.io LATAM 2018 - Full Conference Day 2

Panel Discussion - Libby Kinsey (Project Juno) & Noor Shaker (GTN)

Panel Discussion - Libby Kinsey (Project Juno) & Noor Shaker (GTN)

Automatic Feature Engineering - Silviu Tofan (Dataiku)

Automatic Feature Engineering - Silviu Tofan (Dataiku)

Predicting the 2018 Oscar Winners with Machine Learning - Poul Petersen (BigML)

Predicting the 2018 Oscar Winners with Machine Learning - Poul Petersen (BigML)

Challenging time-series prediction problems - Darko Matovski (causaLens)

Challenging time-series prediction problems - Darko Matovski (causaLens)

Smart Data through Automatic Data Search and Extraction - David Arnu (RapidMiner)

Smart Data through Automatic Data Search and Extraction - David Arnu (RapidMiner)

Techniques for Distributed TensorFlow on Hops - Jim Dowling (Logical Clocks)

Techniques for Distributed TensorFlow on Hops - Jim Dowling (Logical Clocks)

European Machine Intelligence Landscape - Libby Kinsey (Project Juno) & Dmitry Rastorguev

European Machine Intelligence Landscape - Libby Kinsey (Project Juno) & Dmitry Rastorguev

DIY Predictive Modeling Cluster with Kubernetes, Dask and JupyterHub - Olivier Grisel (INRIA)

DIY Predictive Modeling Cluster with Kubernetes, Dask and JupyterHub - Olivier Grisel (INRIA)

Scalable Machine Learning Pipelines for Click Predictions - Moussa Taifi (Appnexus)

Scalable Machine Learning Pipelines for Click Predictions - Moussa Taifi (Appnexus)

The limits of decision making with artificial intelligence - Martin Goodson (Evolution AI)

The limits of decision making with artificial intelligence - Martin Goodson (Evolution AI)

Deep Learning at the edge with AWS DeepLens - Julien Simon (AWS)

Deep Learning at the edge with AWS DeepLens - Julien Simon (AWS)

[Demo] NiftyNet: Deep Learning platform for medical image analysis - Jorge Cardoso (UCL)

[Demo] NiftyNet: Deep Learning platform for medical image analysis - Jorge Cardoso (UCL)

[Demo] Anon AI, Automated Data Anonymisation - Harry Keen (Anon AI)

[Demo] Anon AI, Automated Data Anonymisation - Harry Keen (Anon AI)

Open Source Machine Learning Deployment - Clive Cox (Seldon)

Open Source Machine Learning Deployment - Clive Cox (Seldon)

Microtrends in Artificial Intelligence - Chris Corbishley (Forward Partners)

Microtrends in Artificial Intelligence - Chris Corbishley (Forward Partners)

Changing Tires While Driving: Upgrading Algorithms Live! - Beth Logan (dataxu)

Changing Tires While Driving: Upgrading Algorithms Live! - Beth Logan (dataxu)

The future of machine learning is decentralized - Alex Ingerman (Google)

The future of machine learning is decentralized - Alex Ingerman (Google)

PAPIs Europe 2018 - 6 April - Afternoon

PAPIs Europe 2018 - 6 April - Afternoon

PAPIs Europe 2018 - 6 April - Morning

PAPIs Europe 2018 - 6 April - Morning

PAPIs Europe 2018 - 5 April - Afternoon

PAPIs Europe 2018 - 5 April - Afternoon

PAPIs Europe 2018 - 5 April - Morning

PAPIs Europe 2018 - 5 April - Morning

PAPIs returns to Europe! Real-World ML Stories

PAPIs returns to Europe! Real-World ML Stories

Machine Learning, Technical Debt, and You - D. Sculley (Google)

Machine Learning, Technical Debt, and You - D. Sculley (Google)

Automated Machine Learning: Mostly Unhelpful - Charles Parker (BigML)

Automated Machine Learning: Mostly Unhelpful - Charles Parker (BigML)

Why APIs are key to make AI scale - Tatiana Mejia (Adobe)

Why APIs are key to make AI scale - Tatiana Mejia (Adobe)

AI disruption in e-commerce - David Drollette (Wayfair)

AI disruption in e-commerce - David Drollette (Wayfair)

Pitch Prediction for the World Series - Dennis Oleksyuk (DataRobot)

Pitch Prediction for the World Series - Dennis Oleksyuk (DataRobot)

Supercharging Deep Learning with the Unity Engine - Arthur Juliani (Unity)

Supercharging Deep Learning with the Unity Engine - Arthur Juliani (Unity)

Learning artistic style for real-time stylization of video - Jeffrey Rainy (Element AI)

Learning artistic style for real-time stylization of video - Jeffrey Rainy (Element AI)

ITV with Cynthia Rudin - Associate Professor at Duke University

ITV with Cynthia Rudin - Associate Professor at Duke University

ITV with Yves-Alexandre de Montjoye - Researcher at Imperical College London & MIT Media Lab

ITV with Yves-Alexandre de Montjoye - Researcher at Imperical College London & MIT Media Lab

ITV with Danny Lange - Head of Machine Learning at UBER

ITV with Danny Lange - Head of Machine Learning at UBER

Real-World ML Stories - Back in Boston!

Real-World ML Stories - Back in Boston!

PAPIs Connect — São Paulo 2017

PAPIs Connect — São Paulo 2017

Large scale predictive analytics for anomaly detection - Nicolas Hohn - #papis2015

Large scale predictive analytics for anomaly detection - Nicolas Hohn - #papis2015

A renaissance for decision tree learning — Cynthia Rudin (Duke University) #papis2016

A renaissance for decision tree learning — Cynthia Rudin (Duke University) #papis2016

Deploying Predictive Models with the Actor Framework - Brian Gawalt (Upwork) #papis2015

Deploying Predictive Models with the Actor Framework - Brian Gawalt (Upwork) #papis2015

The privacy bounds of human behavior — Yves-Alexandre de Montjoye (MIT & Imperial College)

The privacy bounds of human behavior — Yves-Alexandre de Montjoye (MIT & Imperial College)

Scaling Machine Learning as a Service — LI Erran Li (Uber) at #papis2016

Scaling Machine Learning as a Service — LI Erran Li (Uber) at #papis2016

[Keynote] Predictive APIs: What about Banking? - Natalino Busa (ING) #PAPIsConnect

[Keynote] Predictive APIs: What about Banking? - Natalino Busa (ING) #PAPIsConnect

The emergent opportunity of Big Data for Social Good - Nuria Oliver (Telefonica) #PAPIsConnect

The emergent opportunity of Big Data for Social Good - Nuria Oliver (Telefonica) #PAPIsConnect

[Keynote] Past, Present and Future of AI - Ramon Lopez de Mantaras #PAPIsConnect

[Keynote] Past, Present and Future of AI - Ramon Lopez de Mantaras #PAPIsConnect

Real-world applications of AI - Daniel Hulme #PAPIsConnect

Real-world applications of AI - Daniel Hulme #PAPIsConnect

Open source Machine Learning and Predictive APIs - Alex Housley #PAPIsConnect

Open source Machine Learning and Predictive APIs - Alex Housley #PAPIsConnect

Evolving a data-driven company from MapReduce to Spark - Ferran Galí Reniu #PAPIsConnect

Evolving a data-driven company from MapReduce to Spark - Ferran Galí Reniu #PAPIsConnect

How to build a successful data team - Florian Douetteau (Dataiku) #PAPIsConnect

How to build a successful data team - Florian Douetteau (Dataiku) #PAPIsConnect

Machine Learning Services Benchmark: choosing the right tools - Inês Almeida #PAPIsConnect

Machine Learning Services Benchmark: choosing the right tools - Inês Almeida #PAPIsConnect

Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koester #PAPIsConnect

Engineering the Future of Our Choice with General AI - JoEllen Lukavec Koester #PAPIsConnect

Machine learning performance evaluation: tips and pitfalls - Jose Hernandez Orallo #PAPIsConnect

Machine learning performance evaluation: tips and pitfalls - Jose Hernandez Orallo #PAPIsConnect

Demystifying Deep Learning - Roberto Paredes Palacios #PAPIsConnect

Demystifying Deep Learning - Roberto Paredes Palacios #PAPIsConnect

AI Startup Battle - 1st Edition - Valencia 2016 #PAPIsConnect

AI Startup Battle - 1st Edition - Valencia 2016 #PAPIsConnect

How to predict the future of shopping - Ulrich Kerzel #PAPIsConnect

How to predict the future of shopping - Ulrich Kerzel #PAPIsConnect

Speed-up distributed deep learning with Spark on AWS - Vincent Van Steenbergen #PAPIsConnect

Speed-up distributed deep learning with Spark on AWS - Vincent Van Steenbergen #PAPIsConnect

PAPIs '16 - 3rd International Conference on Predictive Applications and APIs - #Boston

PAPIs '16 - 3rd International Conference on Predictive Applications and APIs - #Boston

PAPIs Connect: Artificial Intelligence for Business and Society

PAPIs Connect: Artificial Intelligence for Business and Society

Introduction to Multi-GPU Deep Learning with DIGITS 2 - Mike Wang (NVIDIA) - #papis2015

Introduction to Multi-GPU Deep Learning with DIGITS 2 - Mike Wang (NVIDIA) - #papis2015

[Showcase] Dataiku Data Science Studio - Kurt Muehmel - #PAPIsConnect

[Showcase] Dataiku Data Science Studio - Kurt Muehmel - #PAPIsConnect

[Showcase] Reducing customer attrition with ChurnSpotter - Bastien Murzeau - #PAPIsConnect

[Showcase] Reducing customer attrition with ChurnSpotter - Bastien Murzeau - #PAPIsConnect

[Showcase] Predictive modeling and anomaly detection with BigML - David Gerster - #PAPIsConnect

[Showcase] Predictive modeling and anomaly detection with BigML - David Gerster - #PAPIsConnect

Demystifying Machine Learning - Louis Dorard - #PAPIsConnect

Demystifying Machine Learning - Louis Dorard - #PAPIsConnect

Predictive Technologies and the Prediction of Technology - Bob Williamson (NICTA) #papis2015

Predictive Technologies and the Prediction of Technology - Bob Williamson (NICTA) #papis2015

How predictive technology is revolutionizing mobile apps - Rand Hindi (Snips) & Louis Dorard

How predictive technology is revolutionizing mobile apps - Rand Hindi (Snips) & Louis Dorard

Business reasons for automating decisions - Lars Trieloff - #PAPIsConnect

Business reasons for automating decisions - Lars Trieloff - #PAPIsConnect

PAPIs ’15: come meet the makers of Predictive APIs and apps

PAPIs ’15: come meet the makers of Predictive APIs and apps

Yhat for Rapid Deployment of Predictive Models - Greg Lamp - PAPIs.io '14

Yhat for Rapid Deployment of Predictive Models - Greg Lamp - PAPIs.io '14

Predictive APIs in Azure ML - Misha Bilenko - PAPIs.io '14

Predictive APIs in Azure ML - Misha Bilenko - PAPIs.io '14

PredictionIO tutorial - Thomas Stone - PAPIs.io '14

PredictionIO tutorial - Thomas Stone - PAPIs.io '14

APItools demo: integrating predictive APIs - Manfred Bortenschlager - PAPIs.io '14

APItools demo: integrating predictive APIs - Manfred Bortenschlager - PAPIs.io '14

Predicting at the command line - Jeroen Janssens - PAPIs.io '14

Predicting at the command line - Jeroen Janssens - PAPIs.io '14

Dataiku tutorial - Florian Douetteau - PAPIs.io '14

Dataiku tutorial - Florian Douetteau - PAPIs.io '14

BigML tutorial - Poul Petersen - PAPIs.io '14

BigML tutorial - Poul Petersen - PAPIs.io '14

Winning the Yandex personalised web search challenge on Kaggle- Florian Douettau - PAPIs.io '14

Winning the Yandex personalised web search challenge on Kaggle- Florian Douettau - PAPIs.io '14

Forecasting Bitcoin exchange rates with Datagami - Keiran Thompson - PAPIs.io '14

Forecasting Bitcoin exchange rates with Datagami - Keiran Thompson - PAPIs.io '14

Ubiquitous Machine Learning - Keiran Thompson - PAPIs.io '14

Ubiquitous Machine Learning - Keiran Thompson - PAPIs.io '14

Overcoming challenges in understanding text automatically - Elena Alvarez - PAPIs.io '14

Overcoming challenges in understanding text automatically - Elena Alvarez - PAPIs.io '14

Predictive APIs for public needs - Alexandre Vallette - PAPIs.io '14

Predictive APIs for public needs - Alexandre Vallette - PAPIs.io '14

Real-Time Bidding Optimization: how Datacratic's API works - Nicolas Kruchten - PAPIs.io ’14

Real-Time Bidding Optimization: how Datacratic's API works - Nicolas Kruchten - PAPIs.io ’14