Máy học JavaScript TensorFlow.js

Most system development failures or requirement changes occur due to faulty requirements analysis. This covers how to implement requirements analysis to ensure successful system development. Requirements are addressed with scenarios, not code. This covers how to address requirements with scenarios.

You can learn React's state and hook in a broad, deep, and detailed way. It covers more than 95% of the official React documentation. You can finish React with this course.

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 second lecture of the JavaScript Bible course consisting of 4 lectures. By understanding the JavaScript engine, you can develop programs optimized for JavaScript. You can design systems with confidence.

The final course of JavaScript! It covers the structure and method of the execution context, Event Loop, and multi-threading based on ES2025. It covers the language culture contained in the JavaScript language.

It covers thinking. You can logically organize the core and fundamentals of JavaScript. You can organize your own JavaScript experience and thoughts. You can establish the logic of JavaScript technology. You can broaden your perspective on the entire JavaScript. You can prepare for JavaScript technical interview questions.

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

DOM is the foundation and essential part of dynamic applications. We cover everything from the basics to the advanced use of all events that occur in Element, Document, and Window objects. You can fully learn and use Web Components (Custom Element, Shadow DOM, Template). You can put an end to DOM with the newly opened course, "Complete DOM: Basics."

You can't talk about web programming without knowing DOM. Covers over 95% of the DOM specification. You can put a period on DOM. It's broad, deep, and detailed. No time, money, or effort wasted. Also covers JavaScript usage, and you can develop web applications with vanilla JS.

This is the third lecture in the JavaScript Bible course consisting of 4 lectures. It covers more than 95% of the JavaScript specification. You can develop new paradigm programs in the ES6+ environment.

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.

🌟 Start with a real JavaScript class, from the basics to the advanced! 🌟

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.

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

This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.

Have you ever felt frustrated while studying React? We'll help you build a solid foundation in the basics of JavaScript, which is the foundation of React, and then learn step-by-step, opening the way to React without giving up.

mongoDB, NoSQL You hear a lot these days, but is it still an unfamiliar database? Aren't you using it like a relational database (RDS/SQL)? No matter how good the technology is, if it's not used correctly, it will have the opposite effect. That's why we often see cases of failure in using MongoDB. This lecture will teach you everything from basic concepts to practical know-how so that you can use MongoDB as MongoDB-like as possible.

This course is a series of courses on functional programming and JavaScript ES6+, covering a variety of application cases.

Do it! This is a practical Vue.js course that follows the lineage of the Vue.js Introduction -> Vue.js Beginner Course -> Vue.js Intermediate Course. It will help you fully utilize Vue.js in practice.

We will apply it in practice by crawling sites such as Naver, Amazon, Twitter, YouTube, Facebook, Instagram, and unsplash.com.

Vue.js Intermediate Course - This is a Vue.js usage course that helps anyone create a 'great', 'easy', and 'excellent' web application. Based on a basic understanding of Vue.js, you will learn practical, code-centered knowledge by creating a Todo app.

Even without any understanding of machine learning! You can create impressive projects with Google's Teachable Machine and HTML, CSS, JS. Let's create a service that finds similar celebrities together!

jQuery, a JavaScript library used by over 75% of websites worldwide! This course is structured to help you understand the principles and build a strong foundation rather than focusing on flashy effects. Learn jQuery from the basics to advanced applications to complete your own portfolio or use it immediately in the field.

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.

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 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.

From core theories of deep learning and CNN to various CNN model implementation methods, and practical deep learning development know-how through real-world problems, If you want to become a deep learning CNN technology expert based on Pytorch, join us in this lecture :)

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

Coding No. 1 YouTuber Jo Coding's practical compression! Easy and fun web full-stack development lecture

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.