BigML Events 2015

Fall 2015 Release webinar to learn about Association Discovery and many other brand new features of the latest and improved version of BigML. Watch now the full recording webinar.

Speaker: Poul Petersen, Chief Infrastructure Officer.

If you want to develop a system to predict low risk loans, join this meetup in Berlin! We'll show how BigML makes Machine Learning more accessible via a well-defined workflow, insightful visualizations, and fully featured REST API. Furthermore, we'll make a demo to share how to perform anomaly detection.

Speaker: Amir Tabakovic, VP of Business Development.

How can new data, methodologies and approaches be used to understand household and corporate behaviour, the domestic and international macroeconomy, and risks to the financial system?

Brunel University London and the Bank of England analyze the sources of economic and financial data as well as new methodologies suitable for big data.

BigML participates in this workshop highlighting the Automation of Machine Learning in FinTech area.

Speaker: José Antonio Ortega, Co-Founder, Hacker at Large and CTO of BigML.

This community of industry leader entrepreneurs, VCs, academics and others are excited to connect with those in the local FinTech scene with an interest in financial services, technology and innovation.

Every month there is a meetup in Zürich to discuss interesting applications of Machine Learning and data science. The 1st of December BigML will show how to democratize Machine Learning.

Speaker: Amir Tabakovic. VP of Business Development.

PyConES es la conferencia nacional sobre Python más importante de España. La PyConES celebrará su tercera edición los días 21 y 22 noviembre de 2015 en Valencia, después de dos exitosas ediciones en Madrid y Zaragoza respectivamente y siguiendo el formato del evento mundial PyCon.

Concretamente, la conferencia tendrá lugar en la Universidad Politécnica de Valencia (UPV) y será organizada conjuntamente por la comunidad local y la asociación Python España.

Speaker: Merce Martin. VP Insights and Applications

SAI Intelligent Systems Conference 2015

Will focus on areas of intelligent systems and artificial intelligence and how it applies to the real world. It is an opportunity for researchers in this field to meet and discuss solutions, scientific results, and methods in solving intriguing problems in this field.

Speaker: David Gerster. VP of Data Science

One full day jam-packed with data stories that will entertain, educate and inspire you. It's everything you've ever wanted to know about data, told by the people who know it best. Mix 1 part growth hacking, 2 parts data analysis, toss in a dash of mad scientist and that is what Extract is all about.

Speaker: Poul Petersen. CIO

Poland gathers a community of startups, investors, speakers, executives, marketers from all over the world in the second edition of the biggest multinational event about innovation and entrepreneurship.

More than 1500 attendees are expected on the 27th and 28th of October in Warsaw to discuss the latest in technology, companies, new ideas, etc.

BigML won't miss this opportunity to explain why Machine Learning is important for you and the tendency of smart technology taking over our society.

Speaker: Amir Tabackovic, VP Business Development

The main goal of this conference is to foster discussion about the work in Artificial Intelligence developed within the research community of the Catalan Countries as well as to meet the members of this community.

Our CEO, Francisco J Martin, will speak the 2nd day.

Don't miss the opportunity to hear from the pioneers that taught machines how to learn!!

We're entering a new era where machines are becoming much more capable not only in terms of exponential computational power but also on the level of sophistication of the tasks they can perform.

For the first time, tasks that were thought to be performed only by highly skilled humans are starting to enter the scope of intelligent algorithms. The fundamental factor ushering this new era is the ability of machines to learn from past experiences and to adapt to changes by harnessing Machine Learning techniques.

The old debate about the impact of automation and the jobless economy that started hundreds of years ago with the industrial revolution remains relevant as ever.

En este evento se resumirán las clases más interesantes para todos los que no puedan acudir a la Escuela de Verano de Machine Learning (15 y 16 de septiembre) y se hará balance de la misma para futuras ediciones.

Machine Learning is enabling a transformation in the software industry without precedents. New machine-learning powered predictive applications are performing jobs that so far were considered exclusive to highly skilled humans. We will soon witness a new wave of productivity growth that will change the face of all sectors of the economy.

Esta formación está destinada a quienes estén interesados en tener una primera aproximación a la inteligencia artificial, introduciendo sus conceptos fundamentales y orientando la misma hacia un dominio de aplicación específico. En concreto, durante los diez días de clase se iniciará a los alumnos en el conocimiento de los principios básicos que rigen la semántica computacional, la recuperación de información y el procesamiento de lenguaje natural, tres campos de trabajo de la inteligencia artificial que actualmente se postulan como pilares básicos en el desarrollo tecnológico de cualquier empresa puntera.

Speaker: Antonio Vidal. Director Predictive Modeling

PAPIs brings together practitioners from industry, government and academia to present new developments, identify new needs and trends, and discuss the challenges of building real-world predictive applications.

PAPIs Connect is a one-day conference that shows decision makers how machine learning is used by companies big and small to solve real-world problems. It features practical presentations of business cases and predictive innovations, by speakers who have used data to deliver an impact on their organizations. They demystify machine learning by explaining how it creates value from data. Some typical examples are: predicting customer needs and actions, task automation, predictive maintenance, priority detection, demand prediction, etc.

PAPIs Connect will also be of interest to technical profiles who implement solutions that leverage predictive technology.

BigML starts 2015 with a large variety of new features. The enhanced version of BigML includes: the Sample Service for fast access to datasets that are kept in an in-memory cache, very convenient for filtering and correlation techniques; the Dynamic Scatterplot, a graph that lets you visualize your samples differently and it is extremely useful to detect interesting patterns in your data, correlations among your fields, or anomalous data points amidst other observations; the G-Means algorithm, ideal to create clusters when you may not know how many clusters you wish to build from your dataset; the Projects, to help you organize your Machine Learning resources created in BigML; and more integrations you do not want to miss. Watch now the full recording webinar.

Speaker: Poul Petersen, Chief Infrastructure Officer.