
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
A hands-on project course for creating AI NPCs capable of real conversations by integrating Unreal Engine 5 with OpenAI API
4 learners are taking this course
Creating AI NPCs Applicable to Real Games
One-stop learning from API integration to completion
Character Reaction System and Detection System Implementation
Efficient Game Development Approach
Practical Project Completion
Who is this course right for?
A developer who has completed Unreal Engine 5 basics
Developer interested in the convergence of AI and gaming
Someone who wants to implement an interactive NPC system
Those who want to learn AI technologies that can be applied in practical work
Need to know before starting?
Completed Unreal Engine 5 Fundamentals Course (Blueprint, Components, C++ Class Structure)
Basic Understanding of Actor, Animation, Enhanced Input, and Blueprint Interface
All
20 lectures ∙ (8hr 47min)
1. Lesson 1
07:17
2. Lesson 2
22:45
3. Lesson 3
28:52
4. Lecture 4
31:15
5. Lesson 5
23:40
6. Lesson 6
19:44
7. Lecture 7
39:24
8. Lesson 8
41:50
9. Lesson 9
30:01
10. Lesson 10
17:36
11. Lecture 11
29:38
12. Lecture 12
24:33
13. Lesson 13
29:26
Limited time deal
$46,200.00
30%
$51.70
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