Vídeos de programación
Vídeos sobre programación y desarrollo de software.
In an increasingly connected world, APIs are key to great tools and effective workflows.
What is better than an API? A webhook of course! Webhooks are a key building block of a modern application, allowing systems to exchange data in response to events.
This session covers the basic theory of webhooks and shows some examples of how to handle them in your own applications. We'll also talk about when webhooks are a helpful design choice, and some pitfalls to look out for when you're working with them!
This session is recommended for anyone interested in teaching their applications to play nicely with others.
A first objective of this talk is to show recipes for the challenges found when combining Deep Learning with Robotics in open environments. Next, to contrast the theory of constructed emotion about how people detect emotions from the neuroscience point of view vs how these mechanisms are being implemented using Deep Learning focusing on the development of an emotion detection model from the voice tone. And finally, to learn how to evolve this model by adding measures that allow us to know the Aleatoric and Epistemic uncertainty of this model using Bayesian techniques.
Session presented at Big Things Conference 2019 by Rubén Martínez Sánchez, Data Scientist at Datahack.
21st November 2019
PRISA group has developed a complex tool using Big Data and Machine learning technologies in cloud platform to qualify content from EL PAÍS with editorial and commercial KPIs. This tool will help ensure brands safety and qualify the contents with the polarity and the feelings inferred by them. This will allow prisa to have new commercial proposals of greater value within the advertising area.
Session presented at Big Things Conference 2019 by Pedro Ventura, Director of Technology on DATA & Monetization at PRISA, and Lander Trapaga, Big Data Senior Consultant & Data Scientist at Minsait.
21st November 2019
In football and its processes, uncertainty predominates in a very significant way given the intrinsic complexity of the game. Reducing this uncertainty is imperative for football clubs if they aim to optimize the performance of its most important assets and reduce risks in the decision-making process in each main departments.
Session presented at Big Things Conference 2019 by Marco Benjumeda, Lead Data Scientist at Olocip
20th November 2019