Làm chủ giải tích 1 bằng Python: đạo hàm và ứng dụng

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

Theory, numerical approximations, intuition, and visualization in integral calculus. Enhance your math-coding skills.

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Were you a math-phobe during your school days? It's said that math is important in AI, but do you feel lost on how to approach it? The reason math is important in AI is because math is used in the computational processes of AI (Machine Learning and Deep Learning). For easy explanations of differentiation, linear algebra, and probability and statistics to understand AI, it is structured with simple explanations using graphs (coordinates) rather than mathematical derivations.

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Learn Python's core syntax systematically, covering step-by-step from the basics that programming beginners must know to object-oriented programming and exception handling.

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This is a basic DFS lecture that explains the way a liberal arts major and working developer studied to get a job :) We have prepared a lecture where you can learn by solving problems yourself, with minimal boring theory lectures! After taking this lecture, you will be able to solve silver level DFS problems on your own according to Baekjoon standards.

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You don't need to know any coding at all. In just half a day of studying VIBE Coding, you'll be able to create programs without writing any code. Let's learn the latest AI coding methods by directly creating 10 step-by-step examples such as web scraping, TTS, chatbots, and games.

Learn Python coding. Learn design scripting with Rhino3d Grasshopper. Learn creative coding such as computational thinking, parametric, and generative design.

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

Coding Test [ALL IN ONE] ✔️ Complete with one lecture

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

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In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.