STATS4TRADE Unlocks the Power of Machine Learning for Investors
The investment industry is an extremely competitive one, where fund managers work hard to demonstrate a strong track record that beats their respective benchmarks in order to be able to justify their fees and to partake in the profits from their assets under management. For retail investors, the recent years have been characterized by a significant shift towards passive investing […]
Machine Learning Automation: Beware of the Hype!
There’s a lot of buzz lately around “Automating Machine Learning”. The general idea here is that the work done by a Machine Learning engineer can be automated, thus freeing potential users from the tyranny of needing to have specific expertise. Presumably, the ultimate goal of such automations is to make Machine Learning accessible to more people. […]
Reflecting on 2016 to Guide BigML’s Journey in 2017
2016 has proven a whirlwind year for BigML with substantial growth in users, customers and the team riding on the realization by businesses and experts that Machine Learning has transformational power in the new economy where data is in abundance but actionable insights have not been able to keep pace with improvements in storage, computational […]
10 Offbeat Predictions for Machine Learning in 2017
As each year wraps up experts pull their crystal balls from their drawers and start peering into it for a glimpse of what’s to come in the next one. At BigML, We have been following such clairvoyance carefully this past holiday season to compare and contrast with our own take on what 2017 will have in store, […]
Fourth Edition of the Startup Battle at 4YFN
Four Years From Now, the startup business platform of Mobile World Congress that enables startups, investors and corporations to connect and launch new ventures together, goes to Barcelona, Spain, from February 27 to March 1, 2017. We could not think of a better context to run the fourth edition of our series of Startup Battles. […]
Even Easier Machine Learning for Every Day Tasks
Recently, the “Machine Learning for Everyday Tasks” post suddenly rising to the top of Hacker News drew our attention. In that post, Sergey Obukhov, software developer at San Francisco-based startup Mailgun, tries to debunk the myth that Machine Learning is a hard task: I have always felt like we can benefit from using machine learning for simple tasks that […]
Predicting the Publication Year of NIPS Papers using Topic Modeling
The Neural Information Processing Systems (NIPS) conference is one of the most important events in Machine Learning. It receives hundreds of papers from researchers all over the world each year. On the occasion of the NIPS conference held in Barcelona last week, Kaggle published a dataset containing all NIPS papers between 1987 and 2016. We found it an excellent opportunity to put […]
Brazilian Summer School in Machine Learning and AI Startup Battle in the Books!
The BigML Team has travelled to São Paulo, Brazil, to conduct another edition of our series of Machine Learning schools as part of our ongoing educational activities to help democratize Machine Learning not only across industries and job functions but also across geographies. Despite the fact that this was not our first such experience, we keep being positively […]
Brazilian AI Startup Battle: Meet the Contenders!
As a thriving innovation hub, São Paulo’s economic impact can be felt all across Brazil, South America and even the world. The city that is colloquially known as Sampa or Terra da Garoa (Land of Drizzle) will also be the host to the third installment of the AI Startup Battle powered by PreSeries and Telefónica Open […]
BigML Fall 2016 Release Webinar Video is Here!
Thank you to all webinar attendees for the active feedback and questions about BigML’s Fall 2016 Release that includes Topic Models, our latest resource that helps you find thematically related terms in your text data. Our implementation of the underlying Latent Dirichlet Allocation (LDA) technique, one of the most popular probabilistic methods for topic modeling tasks, […]