Hi <<Full Name>>,

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.
 

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.
 

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!
 

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!