BigML News, Issue #36, September 2017
BigML - Machine learning made easy
Product Update
Deepnets, the latest BigML resource is about to be released! This highly effective supervised learning method solves classification and regression problems in a way that can match or exceed human performance, especially in domains where effective feature engineering is difficult. Deepnets are state-of-the-art in speech recognition, text classification, image classification, and object detection tasks, among other use cases. The new resource will be fully available from the BigML Dashboard, API, as well as from WhizzML for its automation on Thursday, October 5, 2017 at 10:00 AM PDT (Portland, Oregon. GMT -07:00) / 07:00 PM CEST (Valencia, Spain. GMT +02:00). Join the FREE live webinar and check the dedicated release page for further reading, which includes the series of six blog posts about Deepnets. 
BigML Events
BigML in Scotland

We are evaluating to open a BigML Lab in Scotland, and a key factor to make it successful is people. We invite you to meet the BigML Team in Edinburgh, on October 3, at this Masterclass on Machine Learning given by BigML's Chief Infrastructure Officer, Poul Petersen, M.Sc. We are looking forward to getting to know you there!

PAPIs 2017

Meet us in Boston, US, on October 24 and 25, at PAPIs 2017, the 4th International Conference on Predictive APIs and Apps. The BigML Team will be there to discuss the challenges of building real-world predictive applications. Dr. Charles Parker, BigML's VP of Machine Learning Algorithms, will be giving a talk about ML automation. 

The Importance of Protecting your Inventions on Time

BigML brings to Spain a special event about the importance of protecting the Intellectual Property of your business. These workshops will be held in Madrid, Barcelona, and Valencia, on October 25, 26 and 27, respectively. Find out more details here!

Please visit the dedicated page to see more upcoming BigML Events!
ML Schools: VSSML17
The third edition of our Valencian Summer School in Machine Learning broke our records across the board. A big thank you to all our attendees who made this event one for the books! Over 200 BigMLers from 14 countries representing 92 companies and 28 academic organizations gathered in Valencia for two fun, intense days of Machine Learning training. We are looking forward to seeing you at the fourth edition!
BigML Tutorials
BigML Tutorial Videos
New to BigML? These introductory videos will get you up to speed with the BigML Dashboard regardless of your knowledge in Machine Learning. For a deep dive in BigML's resources, please watch the release webinars or check these external tutorials mostly written or recorded independently by Machine Learning practitioners from around the world.
BigML Blog Highlights
50,000 Registered Customers

We are happy to announce that we reached a new milestone of 50,000 registered customers on our multi-tenant platform thanks to the accelerating demand for practical Machine Learning worldwide. Check this blog post for more details on BigML’s history.

Balancing your unbalanced datasets

This blog post explains a solution BigML offers that can be applied out-of-the-box to balance your unbalanced datasets, thus, it improves your classification models. Try out this customized cost function.

50,000 Registered Customers

A Stupidly Easy Speed Detector! Find out how a web camera, some simple video processing, and anomaly detection can build a system for tracking vehicle speeds. This is Machine Learning made easy for everyone!


Machine Learning Training
Machine Learning Training
The eighth batch of BigML Certifications is on track! Join the next batch, starting on October 24 to get a jumpstart on the impending wave of ML-driven systems. We also offer Personalized Training sessions for more specific aspects of the BigML platform.
Team Openings
Team Openings
We are still seeking enthusiastic, energetic and talented people that want to help us democratize Machine Learning and make it easy and beautiful for everyone. Check out our open positions and join the BigML Team!

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