YoVDO

Data and Machine Learning at League of Legends

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

MLOps Courses Machine Learning Courses PyTorch Courses NumPy Courses Data Modeling Courses Model Deployment Courses JAX Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the unique data challenges faced by League of Legends and learn how Riot Games deploys machine learning models in a video game environment. Discover the fundamental data model for games as a service and trace the evolution of the data and ML stack since League's inception in 2009. Gain insights into deploying PyTorch, JAX, and NumPy models within and around a binary video game, presented by Ian Schweer, Staff Software Engineer at Riot Games, in this 29-minute conference talk from MLOps World: Machine Learning in Production.

Syllabus

Data @ League


Taught by

MLOps World: Machine Learning in Production

Related Courses

Developing a Tabular Data Model
Microsoft via edX
Data Science in Action - Building a Predictive Churn Model
SAP Learning
Serverless Machine Learning with Tensorflow on Google Cloud Platform 日本語版
Google Cloud via Coursera
Intro to TensorFlow em Português Brasileiro
Google Cloud via Coursera
Serverless Machine Learning con TensorFlow en GCP
Google Cloud via Coursera