BigML News, Issue #15, May 2016
BigML - Machine learning made easy


Hi <<Full Name>>,

BigML Spring 2016 release is here! Join us on Thursday, May 19, 2016 at 10:00 AM US PDT (Portland, Oregon. GMT -07:00) / 7:00 PM CEST (Valencia, Spain. GMT +02:00) for a FREE live webinar to learn about the latest and greatest version of BigML. We’ll be focusing exclusively on WhizzML, a new domain-specific language that lets you automate Machine Learning workflows, implement high-level Machine Learning algorithms, and share them with others. WhizzML stands to make a big difference not only in how developers conceive of and implement smart applications, but also how analysts and scientists reduce the burden of repetitive analyses.

Automate Machine Learning Workflows

Simply stated, WhizzML is a domain-specific programming language that helps you automate sophisticated Machine Learning workflows. Why come up with a new language? Machine Learning is an iterative and computationally intensive process, where each iteration consists of multiple stages. This makes it a perfect candidate for automation. WhizzML utilizes server-side optimization to streamline workflows without burdening the end-user with all the complexities of managing numerous backend tasks, e.g. setting up and configuring servers according to the size of a Machine Learning task at hand. This eliminates brittle client-server communication bottlenecks and the need to configure infrastructure, significantly boosting your Machine Learning productivity.

High-Level Machine Learning Algorithms

WhizzML can also be put to great use by implementing high-level Machine Learning algorithms of your own, e.g., Boosting or Stacked Generalization. The modular design of underlying BigML capabilities and algorithms will not only help you get more creative with your solutions, but it will also let you codify them in a standardized way that lends itself well for troubleshooting, maintenance, and further enhancements.

WhizzML Gallery

Finally, WhizzML provides an infrastructure for creating and sharing Machine Learning Scripts and Libraries, facilitating the reuse of proven techniques within your team. We have already prepared a gallery with a collection of useful scripts that you can use to practice with before you go ahead and add your own. The fact that the scripts are programming language agnostic doesn’t hurt either!

WhizzML Training
During the webinar, we will be showcasing a diverse set of practical WhizzML Libraries and Scripts that can save you a significant amount of time and effort.

Ready to see WhizzML in action? Join us on Thursday, May 19, 2016 at 10:00 AM US PDT (Portland, Oregon. GMT -07:00) / 7:00 PM CEST (Valencia, Spain. GMT +02:00). Be sure to reserve your free spot today as space is limited!

P.S. We will also be giving away BigML t-shirts to those who submit questions during the webinar. Don't forget to request yours!

Our mailing address is:
BigML, Inc
2851 NW 9th Street
Suite D, Conifer Plaza Building
Corvallis, Oregon 97330

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