Xavier Geerinck

Machine Teaching through Azure Project Bonsai - Series Overview

Azure Project Bonsai - Physical CartPole Project

The Azure Project Bonsai Platform Revisited

Gradually adopting Autonomous Systems in Production

Analyzing ML/RL Model Performance with Azure Synapse Analytics Spark Pools

Machine Learning Operations - MLOps explained

Implementing Deepmind's MuZero Algorithm with Python

Auto scaling a HTTP triggered application in Kubernetes using Keda

Creating a simple "Hello World" docker application with Express and NodeJS

Monitoring the Kubernetes Nginx Ingress Controller with Prometheus and Grafana

Creating a Kubernetes Nginx Ingress Controller and create a rule to a sample application

Unity ML-Agents - An Introduction

Reinforcement Learning with the Bonsai Platform

AI Battlecards - End to End Process for building and evaluating AI models

Artificial Intelligence - How to measure performance - Accuracy, Precision, Recall, F1, ROC, RMSE, F-Test and R-Squared

Web2Text - Deep Structured Boilerplate Removal - Running the Code

Facebook ReAgent - An End-to-End Use Case

Facebook's Open-Source Reinforcement Learning Platform - A Deep Dive

Reinforcement Learning - Terminology

Writing a C# SDK for the OpenAI Gym using .NET Core

OpenAI Gym Problems - Solving the CartPole Gym

Bellman Equations

The Markov Property, Chain, Reward Process and Decision Process

Installing OpenAI Gym in a Windows Environment

Multi-armed bandit framework

An introduction to Reinforcement Learning (RL)

An introduction to Machine Learning (ML)