Detection

Constructing ML Models with Observability at ScaleBy Rajeev Prabhakar, Han Wang, Anindya SahaThe highlighted red lines (anomalous hours from the prediction data) co-inside with a spike and drop in request latency, causing anomalies within...

Streamline Audio Evaluation with State-of-the-Art Speech Recognition and Speaker Attribution TechnologiesIn our fast-paced world, we generate enormous amounts of audio data. Take into consideration your favorite podcast or conference calls at work. The information...

Written by Sara Verbič. Work performed by Sara Verbič, Devis Peressutti, Nejc Vesel, Matej Batič, Žiga Lukšič, Jan Geršak, Matic Lubej and Nika Oman Kadunc.We desired to create a big training dataset for automated...

How a posh and cutting-edge approach, creatively borrowed from computer vision, may be implemented in only just a few clicks.ConclusionThis text demonstrates how a reasonably sophisticated time-series anomaly detection algorithm, inspired by computer vision,...

Information overload — and false positives — are major challenges in the everyday incident response organization. Due to the plethora of various security platforms, applications, and tools, security teams with limited resources must sift...

What's our problem?Why not Decision Trees but Random Forest?Fraud Detection.Evaluation of our model.Hello everyone, in today’s article we are going to review a fraud detection problem with a random forest algorithm. We can have...

A practical guide to object detection in images, videos, and real-time webcam feed using each CLI and PythonImpressive! Despite the slightly low video quality and poor lighting conditions, it still captures the objects pretty...

This model may also be implemented right into a computer vision model which may detect masks on a face in real-time.This project was showcased by (Myself) at organized by in partnership with , ,...