
Python Basics for Understanding AI
pnuswedu
Let's learn the basics of the Python programming language and acquire the Python coding skills necessary for artificial intelligence!
입문
Python, AI, Numpy
Let's understand various elements of artificial intelligence and data, and develop the ability to find rational decision-making models based on mathematical thinking by solving real-life problems using Chat GPT and no-code programming!
41 learners are taking this course
Level Beginner
Course period Unlimited
Chat GPT
AI Statistical Learning
◾ Instructor - Professor Cheon Jeong-su (Pusan National University Software Convergence Education Center)
This course is designed for students who want to understand how mathematics is utilized in the field of artificial intelligence by using engineering tools such as Chat GPT. It allows students to experience the programming process without coding using generative AI technology, and learn mathematical concepts together through the process of handling various real-life data. The goal is to serve as a foundation for solidifying the basic knowledge of computer science and mathematics that students who will lead the future of our society need when entering the path of artificial intelligence.
Learn about the concept and development process of artificial intelligence and explore its relationship with mathematics.
Learn how to effectively ask questions to generative AI Chat GPT.
Experience computer programming that solves various real-life problems.
Introduces how mathematical concepts such as matrices, exponents, logarithms, differentiation, and probability are applied in the process of representing and processing numerical, text, and image data.
Introduces methods for finding rational decision-making models through data collection and visualization processes, classification and prediction, and optimization processes.
Who is this course right for?
People who want to utilize engineering tools such as ChatGPT
People who want to know how mathematics is used in the field of artificial intelligence
All
28 lectures ∙ (10hr 30min)
Free
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