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[PY 0204] Python Level 3 for Artificial Intelligence - Functions

[Python for AI] This is the fourth lecture in the series. It is a lecture that covers Python grammar along with practical exercises used in machine learning and deep learning.

(5.0) 6 reviews

138 learners

  • asdfghjkl13551941
인공지능
인공지능(ai)
파이썬
Python
AI

Reviews from Early Learners

What you will learn!

  • Python Basics

  • Machine learning, deep learning operations

NOTICE

This lecture is part of the pre-semester (preparatory semester before this semester) of the artificial intelligence specialized curriculum All about AI.

This is the fourth lecture in the Python for Artificial Intelligence series.

Miro Link: https://miro.com/app/board/uXjVNJ8PZSs=/?share_link_id=801072444784

For an introduction to All About AI, please refer to the orientation lecture.

This time a function!

Python Level 3 for AI focuses on functions.

Using the grammar you've learned so far, you'll learn how to create and use Python functions.

Through this, you will learn how to develop and handle programs effectively.

Debugging functions!

[PY 0203] Based on the content covered in the Debugging Basics lecture

Let's learn together how to debug functions.

Repetition is the only way to survive!

This course will help you make 100 practical codes your own through repeated practice.

This course *includes* practice time.

Recommended for
these people

Who is this course right for?

  • People learning artificial intelligence

  • New to Python

Need to know before starting?

  • [PY 0203] Debugging Basics

Hello
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Reviews

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Answers

5.0

Rating

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강의 이력

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  • [국립기상과학원] 2022년, 2023년, 2025년 기상 AI 부스트캠프

  • [삼성전기] 신입SW과정 전문반

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  • [국가과학기술인력개발원] R&D 전문과정 이러닝 컨텐츠 제작

  • [국가과학기술인력개발원] 박사후연구원 연구 데이터 시각화 과정

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  • [한국지능정보사회진흥원] SW여성인재 교육

  • [SK m&service] 데이터 기반 의사결정

  • [한국IT비즈니스진흥협회] ICT COG Academy

  • [서울시 교육청] 신기술분야 연수

     

  • [KT] KT AI 역량향상 과정

  • [K-ICT] 데이터 안심구역 분석캠프

  • [경기도경제과학진흥원] 처음으로 배우는 비전 AI

  • [경기도경제과학진흥원] 파이썬 데이터 분석 입문

  • [서울과학기술원] AI 활용 심화교육

  • [서울대학교] AI 활용 역량강화 교육

  • [HD한국조선해양] AIC AI 연구직 역량 평가 개발

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  • [패스트캠퍼스] 수학적으로 접근하는 딥러닝

  • [패스트캠퍼스] 한 번에 끝내는 머신러닝과 데이터분석 A-Z

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Curriculum

All

27 lectures ∙ (20hr 22min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

6 reviews

5.0

6 reviews

  • aerolbn님의 프로필 이미지
    aerolbn

    Reviews 27

    Average Rating 5.0

    5

    52% enrolled

    I am taking Level 1, 2, Debugging, and Functions. This course is designed so that you can build up considerable skills by taking only one function, but if you take it from Level 1, you can develop even greater skills. I am originally a firmware engineer with programming experience (not Python, but C), and I am currently majoring in AI (not pure AI, but a field that utilizes AI in a specific engineering field) in graduate school, but I feel that I am learning a lot and improving my skills while taking this course. If it goes according to the plan of Mr. Gongdaehyung, there are still many lectures left, but I plan to take them all without leaving any. (The content of the Pa00 Cam00 lecture was so good that I kept waiting for the follow-up lecture, but the lecture on Inflearn is so good.) I have taken about half of it, but I am thinking about whether to take it all and move on to LV4 Object-oriented right away, or to review it again from LV1 and move on to Object-oriented. This course definitely made me realize that knowing and being able to do things are different, whether it is studying or programming. (There is a practice time in the middle of the lecture. If you try it once as the instructor tells you, you will understand what I mean.^^) If you want to develop into a real expert rather than just study AI in a half-hearted manner, I strongly recommend taking this course (all series).

    • asdfghjkl13551941
      Instructor

      Hello! It's always cool to see you working hard😃 It seems like you're following along really well as I intended I'll try to provide more helpful lectures in the future!

  • anjif36275님의 프로필 이미지
    anjif36275

    Reviews 3

    Average Rating 5.0

    5

    19% enrolled

    The lectures are very systematically structured, so they are designed to be easy to follow regardless of the learner's level. The lectures start with basic concepts and gradually progress to more advanced topics, and if you study sequentially, you can acquire advanced Python programming skills. In particular, the practice problems provided during the lectures go beyond simply understanding the theory, and allow you to acquire Python's concepts and functions through the process of actually writing code and solving problems. This gave me the confidence to immediately apply what I learned in the lectures in real life. Through this lecture, I was able to greatly improve my understanding of Python and my practical skills, and I am confident that it will be of great help in my future learning and development.

    • tjdwlek05871님의 프로필 이미지
      tjdwlek05871

      Reviews 3

      Average Rating 5.0

      5

      96% enrolled

      Hello, I finally completed level 3 and I am so satisfied! When will the computer architecture or level 4 be launched? ㅜㅜ

      • oban043938님의 프로필 이미지
        oban043938

        Reviews 1

        Average Rating 5.0

        5

        100% enrolled

        I am writing a review late because I was learning in a hurry. I completed Level 1 ~ Level 3 and debugging. I feel that my skills have improved significantly after listening to all the lectures, and I am learning a lot of things that I didn't feel from books or other lectures. The most regrettable thing is that the follow-up lectures did not continue quickly. I look forward to the follow-up lectures soon. ^^ Thank you.

        • Hello~ First of all, thank you very much for your positive review of my lecture😃 I'm taking external lectures and other lectures at the same time, so it's taking longer than expected..ㅠ I'll work harder to launch follow-up lectures as quickly as possible~!

      • galoistheory6041님의 프로필 이미지
        galoistheory6041

        Reviews 15

        Average Rating 5.0

        5

        100% enrolled

        $8.80

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