IBM Rolls Out Machine Learning Product on Mainframe
IBM sees benefits in using machine learning where most enterprise data resides.
What’s Inside the “Black Box” of Machine Learning?
Machine learning can optimize business decisions, but the decision reached by an algorithm often isn't transparent.
Could AWS Be the Right Choice for IoT and Machine Learning?
Many analytics companies have built their entire platform on top of AWS -- here's why:
How Machine Learning Helps With Fraud Detection
Fraud detection with machine learning requires large datasets to train a model, weighted variables, and human review only as a last defense.
How to Avoid the Anti-Pattern in Analytics: Three Keys for Machine Learning
When a different analytic model is used in training versus deployment, results can be disastrous. Here's how to avoid the anti-pattern.
Data Science Studio 3.1 Adds New Machine Learning Engines, Scala
Update now supports Scala, machine learning engines for visual data transformation, and an improved UX.
Alpine’s Drag-and-Drop Approach to Big Data Machine Learning
Chorus 6 is to designed to simplify data science projects.
How to Apply Machine Learning to Event Processing
How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use cases, and best practices.
Zenedge Announces Machine Learning Solution for Real-Time Threat Protection
New platform will detect malicious activity without the need to rely on signatures.
How Machine Learning Fuels Your Netflix Addiction
Every recommended video you see on Netflix was selected by an algorithm. The company estimates its algorithms produce $1 billion a year in value from customer retention.