Automating Deepnets with WhizzML and The BigML Python Bindings
This blog post, the fifth of our series of six posts about Deepnets, focuses on those users that want to automate
Category: WhizzML
Using a Customized Cost Function to deal with Unbalanced Data
As pointed in this Kdnuggets article, it’s often the case that we only have a few examples of the thing
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
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
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.
Automating Time Series with WhizzML
Since the beginning of our civilization, humans have worried about the future. In particular, we worry about predicting the future.
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
Boosted Trees with WhizzML and Python Bindings
In this fifth post about Boosted Trees, we want to adopt the point of view of a user who feels comfortable
Machine Learning Automation: Beware of the Hype!
There’s a lot of buzz lately around “Automating Machine Learning”. The general idea here is that the work done by a
Automated Topic Modeling Workflows Done Right
This series of posts started by introducing Topic Models as BigML’s implementation of Latent Dirichlet Allocation (LDA) to help discover thematically related terms in unstructured
