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October 18, 2017

How to Create a WhizzML Script – Part 4

As the final installment of our WhizzML blog series (Part 1, Part 2, Part 3), it’s time to learn the BigML Python bindings way to create WhizzML scripts. With this last tool at your disposal, you’ll officially be a WhizzML-script-creator genius! About BigML Python bindings BigML Python bindings allow you to interact with BigML.io, the API […]

October 3, 2017

Automating Deepnets with WhizzML and The BigML Python Bindings

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This blog post, the fifth of our series of six posts about Deepnets, focuses on those users that want to automate their Machine Learning workflows using programming languages. If you follow the BigML blog, you may know WhizzML, BigML’s domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, and easily sharing them with others. […]

August 25, 2017

How to create a WhizzML Script – Part 3

In this third post about WhizzML basics, you’ll learn more about tools to create WhizzML scripts. We already covered how to manipulate WhizzML scripts from the Gallery. We also learned how to do the same via Scriptify and the Script Editor. For a quick reminder, go to the previous posts, How to create a WhizzML script […]

July 28, 2017

How to create a WhizzML script – Part 2

In this second post about WhizzML basics, we go deeper into script creation methods. In the previous post, How to create a WhizzML script – Part1, you learned the basic concepts of WhizzML and how to clone existing scripts. In this tutorial, we introduce how to create and edit WhizzML scripts via the Web REPL. […]

July 26, 2017

How to create a WhizzML script – Part 1

Series of basic tutorials, to learn WhizzML from scratch. In this first tutorial we will explain where to find WhizzML scripts and how you can use them.

July 18, 2017

Automating Time Series with WhizzML

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Since the beginning of our civilization, humans have worried about the future. In particular, we worry about predicting the future. It’s widely known that in ancient Greece, the most famous oracle was in Delphi. Greek people went there to find out about their future and to decide what they should do to turn their fortunes […]

May 22, 2017

Anomaly Detection, Benchmarks, and WhizzML

Anomaly detectors are a useful tool for any machine learning practitioner, whether for data cleaning, fraud detection, or as early-warning for concept drift. While there are many algorithms for detecting anomalies, there is a lack of publicly available anomaly detection benchmark datasets for comparing these techniques. This is what our Chief Scientist, Professor Tom Dietterich, […]

March 20, 2017

Boosted Trees with WhizzML and Python Bindings

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In this fifth post about Boosted Trees, we want to adopt the point of view of a user who feels comfortable using some programming language. If you follow this blog, you probably know about WhizzML or our bindings, which allow for programmatic usage of all the BigML’s platform resources. In order to easily automate the use […]

July 5, 2016

WhizzML: Level Up with Gradient Boosting

Let’s get serious. Sure, you can use WhizzML to fill in missing values or to do some basic data cleaning, but what if you want to go crazy?  WhizzML is a fully-fledged programming language, after all.  We can go as far down the rabbit hole as we want. As we’ve mentioned before, one of the great […]

June 22, 2016

Programmatically Fill in Missing Values in Your Dataset with WhizzML

For new WhizzML developers, WhizzML’s power as a full-blown functional programming language can sometimes obscure the relationship between WhizzML and the BigML Machine Learning platform. At BigML, we refer to WhizzML as a functional programing language for orchestrating workflows on the BigML platform. In this post we describe an example script in the WhizzML script […]