In this series about feature selection, the first three posts covered three different WhizzML scripts that can help you with this task: Recursive Feature Elimination, Boruta and Best-First Feature Selection. We explained how they work and the needed parameters for each one of them, applying the scripts to the system failures in trucks dataset described in the first post. As […]
Powering the Next Wave of Intelligent Devices with Machine Learning – Part 2
In the first part of this series, we introduced the BigML Node-RED bindings and showed how to install and use them to create a simple BigML-powered flow in Node-RED. In this second installment, we are going to create a second flow which will give us the opportunity to consider in greater detail important concepts such […]
Automated Best-First Feature Selection
In this third post about feature selection scripts in WhizzML, we will introduce the third and final algorithm, Best-First Feature Selection (Best-First). In the first post, we discussed Recursive Feature Selection, and in the second post, we covered Boruta. You can find this script in the BigML Script Gallery If you want to know more about it, visit its info page. Best-First […]
Powering the Next Wave of Intelligent IoT Devices with Machine Learning – Part 1
At BigML, we strive to bring the power of Machine Learning to as many diverse environments as possible. Now you can easily power your Internet of Things (IoT) devices with Classifiers, Regressors, Anomaly Detectors, Deep Neural Networks, and more with the BigML bindings for Node-RED. The BigML Node-RED bindings aim to make it easier to […]
Strategic Partnership for Joint Machine Learning Solutions
A1 Digital, a subsidiary of the A1 Telekom Austria Group, and BigML, the leading Machine Learning platform company based in USA and Spain, have agreed on a strategic partnership for joint Machine Learning solutions. Companies can now use leading Machine Learning solutions based on the European cloud platform Exoscale. With the partnership with BigML, A1 Digital […]
Simple Boruta Feature Selection Scripting
In the previous post of this series about feature selection WhizzML scripts, we introduced the problem of having too many features in our dataset, and we saw how Recursive Feature Elimination helps us to detect and remove useless fields. In this second post, we will learn another useful script, Boruta. We talked previously about this feature […]
What Does Big Data Say About Religion?
For many years, people believed that technological breakthroughs were incompatible with religious ideologies. According to recent observations from both data scientists and leaders in religious communities, big data and religion are starting to finally merge. How will this affect our knowledge of religion? Big data and religion intersect in strange ways Although many people are […]
How Big Data Makes Traditional Branding More Effective Than Ever
Data is being produced in massive volume in 2019. It serves a variety of purposes in many industries. The digital marketing industry is among the sectors that is most dependent on big data. However, marketers often overlook the benefits of using big data in traditional branding strategies, although they can be just as beneficial. You […]
Cybersecurity Predictions for 2019
Cybersecurity is a concern for organizations of all sizes. It’s also one of the fastest growing industries in the world today. The Bureau of Labor Statistics predicts that by 2026 information security analyst jobs will increase by 28%. So, it should come as no surprise that everyone is interested in what cybersecurity is going to […]
Practical Recursive Feature Selection
With the Summer 2018 Release Data Transformations were added to BigML. SQL-style queries, feature engineering with the Flatline editor and options to merge and join datasets are great, but sometimes these are not enough. If we have hundreds of different columns in our dataset it can be hard to handle them. We are able to apply transformations but to which columns? […]