About
Jean-Marc Beaujour
AI / ML Data Scientist
Jean-Marc Beaujour is a physicist with a passion for creating innovative solutions. With a talent for solving real world problems using Machine Learning / Deep Learning he brings 15 years of experience working with R&D environments for start ups and industry Fortune 500 companies. With a PhD in physics he has the ability to analyze and evaluate problems at a high level and apply cutting edge technologies to support his expertise in Machine Learning and AI.
Programming
Python
PyTorch
TensorFlow
Innovation Solutions
Creates innovative cutting edge solutions for government and business through Internet of Things, Edge computing for Deep Learning models and realtime monitoring (sensors).
Supervised/Unsupervised Machine Learning
Linear/Logistic Regression
Support Vector Machines
Random Forest
Naïve Bayes Classification
Recommender systems
Ensemble Methods
Clustering algorithms
Principal Component Analysis
Deep Learning
Object Detection
Image Classification
Image Segmentation
Model for Sequence Data (RNN, LSTM)
Deep Reinforcement Learning
Computer Vision
Affine Transform
Homography
Visual Perception
Feature Extraction
Reinforcement Learning
Model-based/Model-Free Reinforcement Learning
Deep Reinforcement Learning
