An Introduction to Redis-ML (Part Five)
Sep 5, 2017 by Tague Griffith This post is part five of a series of posts examining the features of the Redis-ML module. The first post in the series can be found here. The...
Operational Database Management Systems
Sep 5, 2017 by Tague Griffith This post is part five of a series of posts examining the features of the Redis-ML module. The first post in the series can be found here. The...
Aug 28, 2017 by Tague Griffith This post is part four of a series of posts introducing the Redis-ML module. The first article in the series can be found here. In this post,...
Aug 10, 2017 by Tague Griffith This post is part two of a series of posts introducing the Redis-ML module. In the previous post of the series, we used the Python scikit-learn package and...
Aug 18, 2017 by Tague Griffith This post is part three of a series of posts introducing the Redis-ML module. The first article in the series can be found here. The sample code for...
Jul 24, 2017 by Tague Griffith Despite widespread interest in machine learning (ML), using it effectively in a real-time environment is a complex problem that hasn’t been given enough attention by framework developers. Nearly every...
In September, MemSQL presented on how to do real-time machine learning in under three minutes. Using data from a dating website, the demo shows how the latest features in MemSQL 6 make it easy...
A major addition to MemSQL 6, Extensibility gives customers the ability to write custom database logic to manipulate and processdata. MemSQL 6 also gives customers flexibility to process data required for machine learning applications...
In October, MemSQL announced the general availability of MemSQL 6. Added functionality includes new extensibility features, increased query performance, and enhanced online operations. MemSQL 6 closes the gap between machine learning and operational applications...
Comes with prebuilt models for Fetal Brain Segmentation from MRI, and segmentation on cardiovascular magnetic resonance images. GitHub: https://github.com/DLTK/models Referencing and citing methods in the Model Zoo To find out how to reference each implementation,...
FORTUNE 100 Retailer Executive Summary A Fortune 100 Retailer was looking to move their sizable custom business intelligence application with close to 40 million application queries executed per week to cloud-native Microsoft Azure SQL...