Getting Started with Machine Learning (Basic Principles + Beginner Practice)

This is a Photoshop course for beginners that will teach you the most basic and important functions of the graphic editing tool Photoshop.

This course is a hands-on lecture that covers learning the basic usage of the Cursor AI artificial intelligence tool and applying it to actual website development. Learners will understand AI-based development environments and experience code writing and automation features using Cursor. The course is structured not just to learn the tool's functions, but to develop practical skills through actual website development projects. Additionally, the course covers basic elements frequently used in website development such as HTML, CSS, and JavaScript, along with efficient development methods utilizing AI assistance features, making it easy for beginners to follow along. Upon completing this course, learners will gain the ability to quickly implement ideas and complete websites using Cursor AI, which will serve as a great first step in adapting to modern development environments.

This is a course to learn in various languages how to call various open data provided by the public data portal from various programming languages and how to use JSON data provided as a result of the call.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

In Part 3 of the course, we will learn about Tracking-related functions, 3D layers, Keying, and Effects. We will learn the basic methods of tracking and stabilizing real-life scenes using functions such as Warp Stabilizer, Track motion, and 3D Tracker, and we will also organize the basic methods using the 3D layer structure. We will also learn effects such as Shatter, Particle, and RainFall, and finally proceed to the output work using Adobe Media Encoder.

This course is for those who are new to After Effects, and explains the overall usage method focusing on the most basic contents, and learns the basic process of motion work through simple tasks.

In Part 2, we will focus on Effects and Expressions. We will also learn about effects such as Glow, Echo, and Transition, as well as color correction functions such as Color Correction and Lumetri Color. Through the Expression course, we will also learn the basic concepts and methods of controlling the movement of layers with formulas or logic codes.

This course is a practical-focused program that covers the comprehensive utilization of **Google Sheets, the most widely used spreadsheet program in the world**. Starting with basic functions such as fundamental input, formatting, and cell management that even first-time users can easily follow, the course progressively advances to professional features including advanced function utilization, data analysis and visualization, conditional formatting, and pivot tables through step-by-step learning. Additionally, by focusing intensively on Google Sheets' unique strengths of real-time collaboration tools and cloud-based sharing features, learners can experience an efficient work environment where multiple people can simultaneously create, edit, and review documents. Through this course, learners can go beyond simple spreadsheet usage to simultaneously strengthen their data-driven decision-making abilities and collaboration capabilities, significantly improving work productivity.

Learn the main features of Illustration CC 2020 to use Illustrator easily and quickly.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Through this course, you can study short answer and descriptive questions from past practical exams for the Information Security Engineer.

This course teaches you how to write safe and reliable code in the software development process. Rather than simply stopping at feature implementation, you'll learn programming principles and techniques that can prevent security vulnerabilities and ensure stability. Through hands-on practice and case studies, you can understand security threats that may occur in real development environments and acquire safe coding techniques such as coding rules, input validation, exception handling, and memory management to prevent them. By taking this course, developers will enhance the completeness of their code while gaining practical capabilities to develop software with security and reliability.

In this course, you will learn how to use basic commands for 2D drawings in AutoCAD 2022.

We will explain the overall concept and method of working with 3D graphics using Blender.

This course is a course to learn and utilize the OBS Studio program.

We will explain the overall concept and method of working with 3D graphics using Blender.

This course is a practical beginner's course where you'll directly create various videos such as talking avatars, AI dance, and fairy tale animations using AI tools like HeyGen, Viggle, Runway, and more.

This is an Adobe Lightroom course for photography and digital image processing.

This is an Adobe Lightroom course for photography and digital image processing.

This course covers MS PPT utilization tips that can be immediately applied in practical work situations. Beyond simple document creation functions, it provides various practical know-how to enable efficient and professional document work. You can learn practical skills that will increase work efficiency, such as document editing, formatting, paragraph and table utilization that are frequently encountered in the workplace.

This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.

There is no need to ignore or fear machine learning. Machine learning is easy, but let's think about where to apply machine learning. The direction of machine learning expansion in Java is expected to be similar to the current Python, R strength, and future coexistence of Python, R, and Java, like iOs. The purpose of this lecture is to build a DIKW collaboration system between domain experts and IT professionals.

From the basics of machine learning & deep learning! Creating and utilizing classification/regression/clustering/artificial neural networks with Python

This course is an introductory program designed so that learners who are new to AI technology can easily understand and follow along. Through the lectures, you will learn the basic concepts and usage methods of AI platforms, and conduct hands-on practice directly generating images using various AI tools. Upon completing this course, you will become much closer to AI and acquire the capability to create AI images that can visually implement creative ideas.

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

Essential certification for the AI era, MS AI-900! 🚀 Did you know? ChatGPT operates exclusively on Microsoft Azure! If you want to properly utilize Microsoft Azure OpenAI, which exclusively provides the latest GPT models, now is the perfect opportunity. Grow into an Azure AI services expert through the AI-900 course and master enterprise-grade AI solutions that companies trust. Secure global official certification and enhance your competitiveness as a true AI professional!

Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.

This is a basic Python course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

The automotive and parts manufacturing industry is a field where innovation is essential amid fierce global competition and complex supply chains. This course focuses on how AI technology can be applied in the field, explaining actual cases including production efficiency improvement, quality inspection automation, equipment predictive maintenance, and supply chain optimization. From the foundational understanding needed for AI implementation to strategies and risk management considerations for field application, this course covers topics step by step, providing knowledge and insights that practitioners and managers can immediately utilize.

This course covers everything from the basics to hands-on practice of AI platforms, and is a program where you can learn AI image generation technology. Learners can understand the fundamental concepts of AI and develop the ability to generate AI images using various tools and technologies. Through this course, you can enhance your understanding of the AI field and learn how to directly generate AI images in real-world applications.

Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.