Object Detection: Some Gory Details
As Machine Learning practitioners, it’s important to know how Machine Learning algorithms work. This isn’t just to impress your friends
Category: Data
Fully Automating Server-side Object Detection Workflows
Continuing with our Object Detection release blog posts series, today, we’ll showcase how to automate the training of the object
No-Code Object Detection: Easily Tackling Image Data-Driven Use Cases
BigML will release Object Detection on Tuesday, June 28, 2022! This feature is a significant capability on top of image
Democratizing Object Detection
During our recent Image Processing release, we shared that it sets the foundation for more image data-driven capabilities on the
ML in Manufacturing: Detecting Defects with Unsupervised Learning and Image Feature Extraction
A while ago, when I was studying at the university, my professor shared a nice story about a fruit import
Composite Sources in BigML
In the beginning… In BigML, most of your Machine Learning adventures start by telling the platform where and how to
Bring Machine Learning to PostgreSQL with BigML
As of late, we’ve been using PostgreSQL in BigML quite a lot, and so do some of our customers. We
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
Machine Learning meets Social Good to tackle Data Quality Challenges for Enterprises
BigML partners with WorkAround to provide datasets tagged and cleaned by skilled refugees. WorkAround, a crowdsourcing platform for refugees and
Principal Component Analysis: Technical Overview
This past week we’ve been blogging about BigML’s new Principal Component Analysis (PCA) feature. In this post, we will continue
The Official Blog of BigML.com 