BigML News, Issue #32, August 2017
BigML - Machine learning made easy
Valencian Summer School in Machine Learning 2017
The third edition of our Valencian Summer School in Machine Learning is right around the corner! You won’t want to miss this opportunity for a practical, hands-on introduction to Machine Learning in the beautiful city of Valencia, Spain. This event will be held on September 14-15, and we have upgraded to a larger venue this year in anticipation of record demand. We have room for over 200 attendees and 30 countries are represented so far!
A featured talk about the real-world impact of Machine Learning will be given by Enrique Dans, the prolific Professor at IE Business School. Find out more about the lecturers, venue, program schedule and apply today, as not many spots are left!
Product Update
Time Series

Another tool has been added to your BigML repertoire! Time Series, the latest BigML resource was released on July 20. It can be used to analyze time-based data when historical patterns can explain future behavior. Time Series is commonly used for predicting sales, stock prices, website traffic, weather forecasts, production and inventory analysis, and many other use cases. Time Series is available from the BigML Dashboard, the API, and WhizzML for its automation. Watch the webinar video and check out the dedicated release page to learn more.

In addition to Time Series, we brought three new capabilities to the BigML Dashboard. BigML now provides a visual way to compare multiple evaluations of your supervised learning models, making it easier to decide which one performs better. A new Dashboard visualization of evaluation curves for classification models was added, which includes new performance metrics to assess your classification models. Finally, BigML added resource configuration information to make it simpler and faster for you to find the right resources at a glance among many that belong to the same project. We’d love to hear your feedback about these latest features. Feel free to contact us anytime at

BigML Put to Use
Time Series
PAPIs 4th International Conference on Predictive Applications and APIs will be held October 23-25 in Boston, MA. PAPIs brings together practitioners from industry, government and academia to present new developments, identify needs and trends, and discuss the challenges of building real-world predictive applications. The event will include tutorial workshops, networking and talks with Machine Learning experts (including Dr. Charles Parker from BigML) and the AI Startup Battle (powered by PreSeries). Check out the’ 17 page for more details.
BigML Put to Use
Cyber security is a growing challenge worldwide that is ripe for the application of Machine Learning capabilities. See why security experts are rapidly adopting Machine Learning to improve the efficiency and accuracy of their detection systems.
BigML was mentioned as a top tool for data science in this list of companies who provide Artificial Intelligence and Machine Learning products primarily for businesses.
Have you wondered how Machine Learning can make the world a better place, beyond helping companies be more efficient and profitable? Check out this post by Justin Hart to see how you can apply Machine Learning to understand poverty using BigML.
This comparison of Machine Learning as a Service (MLaaS) providers recognized BigML as a pioneer and ranked it as the top ML as a Service and ML platform.
BigML in the News
Check out our recent blog posts to learn more about using Time Series and WhizzML:
Machine Learning Training
Machine Learning Training
The 7th batch of BigML certifications is under way! BigML Certifications are an ideal way to ramp up your Machine Learning skill set by learning from BigML’s team of deeply experienced instructors. We also offer personalized training sessions that can more precisely fit your team’s learning needs, in case you want to concentrate on certain aspects of the BigML platform.
Education Program
Team Openings
We are 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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