
비전공자를 위한 수학 통계 기초(이론)
SW School
본 과정은 파이썬을 이용한 머신러닝 수학 및 통계의 기본 내용을 실습하는 과정입니다. 기계 학습과 딥러닝은 프로그래밍 역량도 필요하지만 원리를 파악히기 위해서 수학적 배경을 필요로 합니다. 본 과정을 통해 인공지능에 필요한 기초 수학을 차근차근 익힐 수 있습니다!
입문
선형대수학, 확률과 통계, Python
Understand the structure of the network framework provided by Unreal Engine. Understand what servers, clients, replication, and RPCs are and how they work. You can create network games using the Unreal Framework.
Unreal
Unreal Framework
Learn how to develop essential features in multiplayer games, such as creating/entering rooms, synchronizing user information, and handling events, while working on a LAN multiplayer game example.
Explains how to implement a multiplayer game using only Blueprints, without any C++ code.
Who is this course right for?
Aspiring programmer who wants to develop multiplayer games using Unreal Engine
Learners who have experience using Unreal Engine's editor and Blueprints but are new to network development
Learners who can use Unreal Engine but have difficulty understanding and utilizing the Unreal Engine framework
Need to know before starting?
Anyone who knows how to use Unreal Engine
Who can use blueprints?
Basic programming knowledge, object-oriented knowledge is preferred
All
15 lectures ∙ (5hr 29min)
$47.30
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