This preface introduces a comprehensive, experience‑driven guide that explains the value of mathematical modeling, outlines a unique "situation‑thinking‑method" framework, details the book’s structure and features, and calls educators to join a community for advancing modeling education.
Participating in a university math modeling competition offers broad interdisciplinary exposure, transforms abstract calculus and probability concepts into real‑world problem‑solving, and sharply enhances literature research, teamwork, programming, and writing skills, making the learning experience invaluable beyond exam preparation.
The article introduces the ‘Model Perspective’ website, outlining its sections on essential modeling skills, the modeling workflow, competition information, learning resources, educational insights, language options, and invites feedback to support the growth of mathematical modeling education.
iQIYI’s 2019 technical highlights recap its most‑read articles, influential media pieces, award‑winning papers, major AI competitions, and a series of technical salons covering cloud architecture, video recognition, recommendation, mobile engineering, and voice interaction, showcasing the company’s innovation across entertainment and AI.
This article compiles a comprehensive set of beginner-friendly machine‑learning resources—including recommended programming languages, essential textbooks, video courses, influential blogs, competition platforms, and notable conference papers—to help newcomers build a solid foundation and practical experience.
