
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
Python
Programming
This course teaches the basics of Python.
The Python language is easy to learn, allows for rapid program development, and offers excellent functionality.
It is also used as the basic language for TensorFlow and Keras in the machine learning/deep learning field, which is becoming an issue.
It is gaining attention as a must-learn language in the field of artificial intelligence.
Through this course, you will learn the basics of Python grammar and understand the internal workings of various sources.
You can build a solid foundation by acquiring the basic capabilities necessary to implement field projects.
1. Understanding Python
Python features, applications, and development environment settings
2. Data types and variables
Numeric data types, string data types, Boolean data types, variable declaration
3. String formatting
% How to use the formatter, how to use the str.format() function
4. Operator
Arithmetic operations, assignment operations, relational operations, logical operations
5. Branching sentences
Characteristics of if statements, the need for elif else
6. Loops
for loop, continue, break
7. Function
Function declaration and calling method
8. Lists, tuples
How to create and use lists and tuples, and how to use nesting
9. Sets, dictionaries
How to create and use sets, how to create and use dictionaries
10. String processing
String operations and substring access, manipulation methods, and function utilization
11. Module
Common operations of sequence data types: assignment, deletion, indexing, and slicing.
Who is this course right for?
Non-majors who want to learn Python
For those new to coding
All
11 lectures ∙ (2hr 40min)
3. String formatting
24:05
4. operator
14:10
6. Loop
14:14
7. Function
09:24
8. List, Tuple
16:09
9. set, dictionary
17:28
11. Module
15:20
All
1 reviews
$47.30
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