Creating a Photo Mosaic with Excel and Python

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

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

Python + xlwings Work Automation Course Summary 1. Basic Section: Excel Control Fundamentals Cell Handling / Format Application / Image & Chart Insertion 2. Application Section: Automation Scenarios Automatic Email Sending / Report Summary Automation (LLM) / Image Classification Tasks (Teachable Machine)

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!

Deeply understand the meaning of deep learning by implementing its basics 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!

Solve the point where 80% get stuck at makeathons. Complete Raspberry Pi · Computer Vision · LLM · 3D Design in 4 weeks! Achieve top rankings at makeathons with a demonstrable smart mirror PoC!

You can learn various ways to use Excel to adjust, clean, and collate data brought in from outside, as well as how to extract, separate, and transform data from a single cell.

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.

If you want to properly learn OCR technology that's truly used in practice, this one course is all you need! Aiming for over 98% accuracy even with unstructured documents and complex layouts, based on the latest SOTA models and real-world know-how, we build enterprise-level OCR projects together.

Python + xlwings Work Automation Course Summary 1. Basic Section: Excel Control Fundamentals Cell Handling / Format Application / Image & Chart Insertion 2. Application Section: Automation Scenarios Automatic Email Sending / Report Summary Automation (LLM) / Image Classification Tasks (Teachable Machine)

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

Even complete beginners who don't know anything about Excel are OK! Just follow the lectures and you can get an A grade in ITQ Excel.

Don't learn Excel the hard way. The questions that appear on the ITQ exam are already predetermined. With the 'guaranteed exam formulas' extracted from 25 years of teaching big data, we guide you on the fastest shortcut to achieving an A grade in just 2 weeks, even with no prior experience.

This course will help you become a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples that can be immediately applied in real-world work environments.

You still haven't started studying data analysis...? Are you... what? 😦 Now, data analysis is not a choice but a necessity! Master data analysis with Masocampus lectures and live a new life!

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

Through the synergy of Excel and generative AI (ChatGPT), this practical, hands-on training covers the entire spectrum including data aggregation, cleansing, visualization, report writing, template automation, code-free schedule creation, VBA automation, and Google Sheets integration, designed to enable learners from Excel beginners to intermediate users to develop skills that can be immediately applied in real-world work through step-by-step learning.

Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.

Are you wondering which tool to use for data analysis? Get started easily with Excel!

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 conducts hands-on practice related to Diffusion models among generative artificial intelligence models. By reading and implementing the prompt-to-prompt paper, which is a representative Diffusion model application paper, we expect to cultivate the ability to understand the latest artificial intelligence papers.

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

We implement the latest Transformer-based PixArt and lightweight adaptation SANA step by step from theory to code. Building on DDPM·DDIM·LDM·DiT covered in Parts I·II, we complete hands-on practice including text encoder integration, samplers (DDIM/ODE), v-prediction/CFG tuning, and small-scale data style fine-tuning.

The era of Physical AI, Perception AI, Generative AI, Agentic AI, and Physical AI mentioned directly by Jensen Huang in 2025 is coming. Experience Physical AI quickly and easily for yourself. Try Physical AI with HuggingFace's LeRobot library and real robots.

Through this course, learners will be able to acquire the skills necessary to obtain a Computer Application Skills certification. This course is structured according to the examination standards for obtaining the Computer Application Skills certification. You can learn and apply fundamental knowledge of Computer Application Skills subjects to prepare for certification acquisition. (Computer Application Skills Level 1 & 2 Practical - Spreadsheet Practice)