ExYPro : Process Mining Methodology
by Discover with ExYPro how to discover and analyze your business processes
Author: Benoit Cayla
In more than 15 years, I have built-up a solid experience around various integration projects (data & applications). I have, indeed, worked in nine different companies and successively adopted the vision of the service provider, the customer and the software editor.
This experience, which made me almost omniscient in my field naturally led me to be involved in large-scale projects around the digitalization of business processes, mainly in such sectors like insurance and finance.
Really passionate about AI (Machine Learning, NLP and Deep Learning), I joined Blue Prism in 2019 as a pre-sales solution consultant, where I can combine my subject matter skills with automation to help my customers to automate complex business processes in a more efficient way.
In parallel with my professional activity, I run a blog aimed at showing how to understand and analyze data as simply as possible: datacorner.fr
Learning, convincing by the arguments and passing on my knowledge could be my caracteristic triptych.
Discover Plotly
In this short tuto, we will discover the Plotly data visualization library and we’ll pratice this library through hands on
YOLO (Part 4) Reduce detected classes
In this article we will see a trick that reduces the scope of object detection using YOLO v4.
YOLO (Part 3) Non Maxima Suppression (NMS)
In my previous articles on YOLO we saw how to use this network … but when we apply this algorithm on complex images we quickly see that multiple detections are made for the same objects. We will see in this article how to remove these duplicate frames with the so-called NMS technique.
YOLO (Part 2) Object detection with YOLO & OpenCV
In this article we will see step by step how to use the YOLO neural network with its implementation in OpenCV. Follow the guide š
Will āCitizen developmentā suffer the same destiny as the hybrid engine?
Who has never heard about “Citizen development”? in this short post I am trying to counteract this trend by positioning above the current limits and also figuring out the next coming steps. Just ask yourself if business users really wants to develop their applications or processes? Is this way of doing things just a step towards something much more augmented?
YOLO (Part 1) Introduction with Darknet
We will see in this article, how with the YOLO neural network we can very simply detect several objects in a photo. The objective is not to go into the details of the implementation of this neural network (much more complex than a simple sequential CNN) but rather to show how to use the implementation which was carried out in C ++ and which is called Darknet.
Discover Gradio: a simple web UI for your Models
In this tutorial, I invite you to discover a small open source framework that is very easy to set up and use and which will allow you to create an interface for your Machine Learning models. Follow the leader …
Transfer Learning with VGG
In this article we will discuss the concept of Transfer Learning … or how to avoid redoing long and consuming learning by partially reusing a pre-trained neural network. To do this we will use a network which is the reference in the matter: VGG-Net (vgg16).
