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Why this course is special: Key Advantages • Intuitive Visualization: Directly observe algorithm operations in real-time with Pygame 2D simulations • Practical Implementation Experience: Go beyond theory and internalize autonomous driving algorithms by coding directly • Master Core Algorithms: Focused learning of essential algorithms such as Dijkstra, Pure Pursuit, ICP, etc. • Step-by-step Advanced Learning: Systematic difficulty progression from basics to SLAM • Lidar-based SLAM: Practical map building and localization in unknown environments

Let's visually learn the principles of deep learning using Excel.

Deep learning is a technology that learns data through neural networks composed of combinations of complex functions. In this lecture, we will mathematically understand the core concepts of deep learning and analyze them from the perspective of matrix operations. In particular, utilizing Python's NumPy library, we will visually examine how parameters are updated by directly implementing the forward and backward propagation processes of deep learning. Even the seemingly complex neural network structure becomes clear when analyzed with matrix operations. This lecture focuses more on understanding concepts than coding and is suitable for students who wish to intuitively grasp the principles of deep learning mathematically.

Implementing deep learning basics with Excel to deeply understand their meaning! Learn how image data is processed!

Implement Deep Learning Basics in Excel for Deeper Understanding!

Let's implement a deep learning framework directly with Excel! Let's solve supervised learning/unsupervised learning/reinforcement learning with the implemented framework!

Deeply understand deep learning basics by implementing in Excel!

Pre-Trained Model (VGG16) / CAM / Grad-CAM / YOLO / STYLE TRANSFER / PIX2PIX / CYCLEGAN Implementing Stable Diffusion Directly

Hot image generation model! Let's understand it by implementing it from the basics! Let's implement AUTO ENCODER / VAE / GAN / DIFFUSION together!

Excel VBA helps you use Excel faster and more efficiently. Now, learn VBA to spend your free time at work. For web data collection, please refer to this course: https://www.inflearn.com/course/python-crawling#

Excel 2021 Practical Super-fast Master Class covers 6 key tips and features to help practitioners maximize their work efficiency and get off work early. Quickly acquire all the essential skills of Excel, from data processing, editing, formatting, calculation, analysis, and visual effects through this course.

Learn how to use chatGPT in practice to dramatically increase your work productivity, and apply it directly to your work, from document writing to data analysis!

Computer Proficiency written exam is no longer difficult! We've organized only the core points so anyone can easily understand. With this course, passing in a short period is entirely possible. Start right now!

Covers how to properly use the new game-changer "ChatGPT" for "Excel utilization." You can learn to create Excel formulas for practical use, easily grasp Excel functions, and write macros and VBA code using ChatGPT.

This course aims to acquire Python-based web crawling technology to collect data from web pages and improve data collection and analysis capabilities at work based on this.

You use 'pivot tables' a lot for data analysis, right? However, Excel provides various analysis tasks that are suitable for the situation in addition to pivot tables. In this lecture, we will organize Excel analysis tasks in 10 ways (sorting, subtotals, pivot tables, pivot charts, target value search, data tables, scenario managers, integration, advanced filters, conditional formatting)

Let's begin developing with Copilot (copilot). With AI, even elementary school students can follow along!

Learn to implement Telegram, Slack, KakaoTalk, and Discord bots with Python, exploring each service's features via various examples.

Statistics learned in school, was it too hard to understand? No matter how much you listened to the explanation, statistics were confusing, but we will help you understand them. If you implement them one by one by hand using Excel, you will understand statistical concepts that you didn't understand! A new experience that makes boring statistics fun! We will give you a gift. :)

A class on analyzing customer/sales data with Excel, even without R or Python!

A solopreneur is always short on time. They need to develop automation programs to delegate repetitive tasks to the programs and let people do the creative work.

Now you can use Python in Excel! A light lecture to try out the latest features!

Learn about Python and how to automatically collect Naver news titles and stock data from Naver Finance using Python. The library I mainly use is BeautifulSoup.

Chatgpt is a program that reads and comments on posts written by my neighbors Lesson on developing marketing automation and neighbor management programs

Through this course, learners can develop the ability to obtain a Computer Application Skills certification. This course is structured according to the examination standards as a preparation course for acquiring the Computer Application Skills certification. You can learn and apply basic knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Written Exam - Spreadsheet General)

Coding Excel Data in Python?! It's Not Hard~ Becoming a Leading Worker is Just a Matter of Time!

This course is perfect for those who are new to coding or are new to Python, as it starts with the installation of Python and teaches step-by-step! This course allows you to take your first step as a programming developer by learning Python through various examples and practices, not just concepts.

No more lectures that start with boring grammar! Python practical application examples that jump straight into use

"Level Up Your Python Alone!" Starting from Python basics, all the way to creating 2D games and an Ollama-based AI chatbot! This is a practice-focused introductory course where you learn core syntax like variables, conditional statements, and functions, and improve your skills by building things yourself.