JavaScript Machine Learning TensorFlow.js

What are the essential fundamentals required for software development? We seek the answer through the Rust language. Every programming language has its own culture, and understanding syntax and concepts alone is not enough. You must understand its characteristics and culture to truly grasp the essence of the language.

The Ultimate JavaScript Course! It covers execution context structures and mechanisms based on ES2025, the Event Loop, and multi-threading. It also explores the language culture embedded within JavaScript.

We deal with ideas. You can logically organize the core and fundamentals of JavaScript. You can structure your own JavaScript experiences and thoughts. You can establish the technical logic of JavaScript. You can broaden your perspective to see the entirety of JavaScript. You can prepare for JavaScript technical interview questions.

You can learn React's state and hooks in a broad, deep, and detailed manner. It covers over 95% of the official React documentation. You can master React with this single course.

You can learn the basics of React. You can organize HTML, JavaScript, DOM, Event, Object, Module, OOP, etc. related to React.

To move beyond "vibe coding" and develop a proper system, you must first accurately analyze the requirements. Furthermore, you need to create scenarios so that these requirements are connected and executable. This covers how to analyze requirements and write scenarios.

DOM is the essential foundation of dynamic applications. This course covers everything from the basics to the advanced application of all events occurring in and triggered by Element, Document, and Window objects. You will thoroughly learn and be able to utilize Web Components (Custom Element, Shadow DOM, Template). Together with the "DOM Mastery: Basics" course, you can bring your DOM expertise to completion.

You cannot talk about web programming without knowing the DOM. This covers over 95% of the DOM specification. It is the definitive guide to the DOM—broad, deep, and detailed. You won't waste time, money, or effort. It also covers JavaScript practical application, enabling you to develop web applications with Vanilla JS.

This is the last lecture of the JavaScript Bible course consisting of 4 lectures. It covers more than 95% of the JavaScript specification. In particular, it approaches the concept of creating a framework by dividing the entire asynchronous communication and asynchronous process into 11 steps.

This is the third course in a four-part JavaScript Bible series. It covers more than 95% of the JavaScript specification. You will be able to develop programs with a new paradigm in an ES6+ environment.

This is the second course in the JavaScript Bible series, which consists of four courses. By understanding the JavaScript engine, you can develop programs optimized for JavaScript and design systems with confidence.

This is the first lecture of the JavaScript Bible course consisting of 4 lectures. It is faithful to the basics. It focuses on understanding the fundamentals of JavaScript. It covers more than 95% of the JavaScript specification.

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

This course is a process of learning the basic theories of data structures by directly implementing them using JAVA programming. It is designed to go beyond simply learning theory, allowing you to gain a deeper understanding of the principles of data structures by implementing them with actual code. Learners will theoretically study core data structure concepts such as arrays, stacks, queues, lists, trees, and graphs, while simultaneously experiencing the actual operation process by implementing them in JAVA code. Through this, you can develop logical thinking and problem-solving skills rather than simple rote learning, and enjoy the synergistic effect of mastering both programming and data structures together. 👉 Upon completing this course, learners will master the basic concepts and structural characteristics of data structures, as well as the ability to implement and apply them in real-world development environments, building a foundation for designing more efficient and robust programs.

Why does JavaScript use Classes? How was object-oriented programming implemented before their advent? Let's take a brief journey to find answers to questions you might ponder while studying JavaScript.

Analyze over 40 types of economic indicators and stock data with AI to create your own powerful stock price analysis model that predicts not only S&P 500 and QQQ ETF, but also individual stocks!

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

This course starts with the question "If I had been on the Titanic, could I have survived?" and completes a full-stack project that develops an AI model to predict survival probability based on actual data and serves it as a web service. You'll practice the entire process of AI and web development, from deep learning modeling using PyTorch, building a backend server with FastAPI, to implementing a user interface with Next.js.

Build a solid foundation of skills and confidence by developing various topics from scratch with JavaScript.

This is a basic course on machine learning and deep learning analysis for data analysis beginners.

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.

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

In this course, you will learn about the general types of front-end testing and how to write reliable tests by selecting the appropriate test for the situation.

A course where you understand core JavaScript concepts and train to explain them verbally for interviews.

This course is a comprehensive program that covers everything you need to know to utilize generative AI in practical work settings, from the basic principles of LLM (Large Language Models) to RAG (Retrieval-Augmented Generation), and even the latest technologies like AI Agent and MCP (Modular Command Protocol). It is structured to naturally teach you how generative AI understands, searches, judges information, and extends into AI Agents that take action, following the flow of technological development.

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.

This lecture examines the overall flow of core concepts that run through all of JavaScript up to ES6.

Learn and implement the basic concepts and core features to easily develop web applications with Vue.js. After taking this course, you'll find frontend development with Vue.js enjoyable.

Programming is the magic that makes us realize the direction we want. Experience web programming by solving problems in web services around us.

You may have felt frustrated using Redis without being able to explain why it should be designed that way or why certain patterns emerged. Through my experience in both practical development and as an interviewer, I have treated Redis not just as a simple cache, but as a core component that determines service stability and scalability. This course is not about memorizing commands; instead, I will share my experiences on which structures to choose in real traffic environments and their trade-offs, helping you establish the criteria to explain these concepts confidently in both interviews and practical work.

This course aims to cover the latest Gemini API SDK (@google/genai) in a Node.js and TypeScript environment. You will learn how to use multimodal technology to process text, images, and video simultaneously. We will practice the entire process, from issuing an API key to project setup and model calling.

This is a lecture on functional programming by CTO In-dong Yoo of Marpple (http://www.marpple.com). You can create your own library with functional programming and experience the paradigm of functional programming and the joy of coding.