Machine Learning in Industrial Chemicals: Process Quality Optimization
This post is the last in our series of 5 blog posts highlighting use case presentations from the 2nd Edition
Category: Anomaly Detection
K-means – – Finding Anomalies while Clustering
On November 4th and 5th, BigML joined the Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University, to bring
A Stupidly Easy Speed Detector
Combining video and BigML anomaly detection to find speeding cars.
Anomaly Detection, Benchmarks, and WhizzML
Anomaly detectors are a useful tool for any machine learning practitioner, whether for data cleaning, fraud detection, or as early-warning
Machine Learning Prague Videos are Ready!
BigML had the pleasure to participate in the inaugural Machine Learning Prague conference, which brought together European companies and startups as
Using Anomaly Detectors to Assess Covariate Shift
BigML first discussed some time ago how the performance of a predictive model can suffer when the model is applied to new data generated
Anomaly Detection in a Single Command Line
In our prior post we talked about clustering and how you can group your data together into segments by typing a single sentence
How to Improve Your Predictive Model: A Post-mortem Analysis
Building predictive models with machine learning techniques can be very insightful and provide tremendous business value in optimizing resources that
Detecting numeric irregularities with Benford’s Law
This is the first post in a series of statistics primers to inaugurate the arrival of BigML’s new advanced statistics
Introducing: Magic Data Goggles!
Bad things happen, but thankfully they tend to happen rarely. For example, you’d expect a small fraction of network traffic
