Machine Learning for Gamers - Dungeon Forecasts & Dragon Regressions
Offered By: NDC Conferences via YouTube
Course Description
Overview
Explore machine learning applications in gaming through a 47-minute conference talk that delves into practical examples using role-playing game scenarios. Learn how to leverage ML techniques to make informed decisions about character creation, treasure allocation, and session planning. Discover six major problem types solvable with machine learning: regression, forecasting, impact analysis, classification, clustering, and anomaly detection. Gain insights into the required data and expected outcomes for each problem type. Understand the fundamentals of machine learning, including encoding, imputation, algorithm selection, and the train-test process. By the end of the talk, acquire a solid foundation in machine learning concepts and their potential applications beyond gaming.
Syllabus
Intro
Who is this Guy?
Who is this Company?
Target & Features
Encoding & Imputation
Algorithms
Train & Test
About Dragons
About Characters
Asking the Question
About Gaming Sessions
Training Data
Taught by
NDC Conferences
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent