Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
Data Fabric & Data Mesh: Two Approaches, One Data-Driven Destiny
I decided to write a series of blogs on current topics: the elements of data governance that I have been…
State of the Art MLOps: Efficient Model Management with a Model Registry
The Power of a Model Registry A comprehensive Model Registry is one of the most overlooked components when machine learning…
Kangas 2.0: Exploratory Data Analysis for Computer Vision
Today, we’re excited to release version 2.0 of Kangas, our open-source platform for exploring, analyzing, and visualizing multi-media data. Whether…
LangChain Evaluators for Language Model Validation
Exploring Exact Matches, Embedding Distances, and More: A Deep Dive into Advanced String Evaluation Methods for AI Applications Introduction While…
Data Mesh Tools: A Comprehensive Guide
When I first heard about the data mesh, I was sceptical. As I dug deeper into the topic, I realized…
Research Guide: Model Distillation Techniques for Deep Learning
Image Source Knowledge distillation is a model compression technique whereby a small network (student) is taught by a larger trained…