JavaScript Machine Learning TensorFlow.js

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.

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.

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.

JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.

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

Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!

You can learn JavaScript from basic to intermediate, which is the foundation of web development.

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.

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 understand model algorithms for machine learning and deep learning by utilizing Keras!

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

🚀 This is a mini-project practical lecture suitable for those who have just finished studying JavaScript grammar. It will help you break through the gap between basic JavaScript grammar and frameworks such as React or Vue. ✨

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.

This is a curriculum full of Captain's personal feelings, an 8-year full-stack developer who fell in love with coding. It is filled with Captain's desire to teach everything about the backend! As you listen to this lecture, you will find yourself thinking, 'Does he really teach this much?' Let's start with this lecture that thoroughly explains even the parts that everyone finds difficult.

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 tutorial lecture where you can learn simple usage of PyScript.

You can learn about implementing webcam and peer-to-peer communication using WebRTC.

Learn Python web development A to Z while making it! Learn everything from web basics to blog development and deployment all at once.

This course covers practical Web APIs. I hope you gain the tools to solve requirements you are bound to encounter at least once in the field.

This is a Life Coding JavaScript course. We will study the JavaScript reference that allows you to directly control the web browser.

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.

Through this course, students will learn overall knowledge of HTML, CSS, and JS.

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.