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.

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 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.

This course will help you build a solid foundation in the basic concepts of reinforcement learning through essential theoretical learning on deep reinforcement learning, and learn the principles of deep reinforcement learning in detail through hands-on practice of implementing actual code using TensorFlow.

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.

Practical JavaScript Grammar for Frontend and Backend Let's finish it in one book with the #1 web book author!

A friendly course that even those who know nothing about coding can follow! The ultimate course that turns working developers into JavaScript experts!

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

Python Web Development A to Z: Learning by Doing! Learn everything from web basics to blog development and deployment all at once.

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

This is a tutorial lecture where you can learn simple usage of PyScript.

Starting with the question, "If I were on the Titanic, would I have survived?", this course completes a full-stack project where you develop an AI model to predict survival probabilities based on real data and deploy it as a web service. You will gain hands-on experience in the entire process of AI and web development, from deep learning modeling using PyTorch to building a backend server with FastAPI and implementing a user interface with Next.js.

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

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 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 an intermediate course that teaches you about JavaScript and jQuery through theory and practice. It consists of content that can be applied to practical work based on basic concepts of HTML, CSS, and JS. Part. 1 covers the Document Object Model (DOM), basic concepts of jQuery, finding, creating, adding, deleting, and moving nodes.

We will delve deep into the 'Stream Architecture,' which controls massive 10GB datasets with just 50MB of memory, to grasp the essence of physical resource management. Based on this, you will design data pipelines that directly control the Operating System (OS) and the V8 engine, evolving into a top 1% high-end engineer that AI can never replace.

Grab your keyboard and practice, and you'll master the three major web development skills!

This lecture is designed for job seekers preparing for Evaluation and Analysis roles in Samsung Electronics' DS Division (Memory, S.LSI, Foundry, TSP, AVP) and PE, AE, and Solution PE roles at SK hynix, who are struggling with the differences between business units and job functions. You will learn how to categorize job titles by company based on the actual workflow of Product Evaluation roles and how to translate your major-related experiences into professional terminology suitable for resumes and interviews. We will help you establish an application strategy by connecting experiences in Analog circuit design, Verilog/FPGA, process experiments, and data analysis with key industry terms such as Yield, Wafer Map, Shmoo Plot, and Failure Analysis.

This course is a practical, hands-on guide for those who want to learn how to maximize development productivity in the AI era. Beyond simply learning how to use AI, we focus on how to utilize Claude Code in a real-world development environment and how to produce "proper results." Many developers use AI but still face issues such as: ❌ Inconsistent results ❌ Poor code quality ❌ Increasing project complexity To solve these problems, this course teaches you how to utilize AI as a "development partner" rather than just a tool through: ✔ Spec-based workflows ✔ Structured command systems ✔ Sub-agent and automation strategies Furthermore, you will gain the experience of completing and deploying a full application from start to finish by integrating with real-world services such as Firebase, Figma, GitHub, and Vercel.

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.

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

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