A REST API for Principal Component Analysis
As part of our PCA release, we have released a series of blog posts, including a use case and a
Author: gregoryantell
Applying Dimensionality Reduction with PCA to Cancer Data
Principal Component Analysis (PCA) is a powerful and well-established data transformation method that can be used for data visualization, dimensionality
Efficient Data Transformations Using the BigML API
As part of our release for Data Transformations, we have outlined both a use case and how to execute the
An Intuitive Guide to Financial Analysis with Data Transformations
With regards to the analysis of financial markets, there exists two major schools of thought: fundamental analysis and technical analysis.
Programming Fusions with the BigML API
As part of our Fusions release, we have already demonstrated a use case and walked through an example using the
Small Differences Matter: Maximizing Model Performance with Fusions of Models
The results of many Machine Learning competitions, perhaps most famously the Netflix prize, have demonstrated that a combination of models
Track Twitter Sentiment with BigML Zapier Integrations
Recently, perhaps the biggest news in tech was the acquisition of GitHub, the version control software company, by Microsoft for
Finding your Optimal Model Automatically with the BigML API and OptiML
In this post, the fourth of our 6 blog posts focused on optimizing Machine Learning automatically, we will explore how
Case Study: Automatically Training a Classifier with OptiML
This blog post, the second in a series of 6 posts exploring OptiML, the new feature for automatic model optimization
Prediction Explanation: Adding Transparency to Machine Learning
The effective use and adoption of Machine Learning requires algorithms that are not only accurate, but also understandable. To address
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