실전도커: 도커로 나만의 딥러닝 클라우드 컴퓨터 만들기

Packed with LLM fine-tuning know-how from someone working on LLM projects in Silicon Valley.

This course covers the process of automating algorithmic trading in local and cloud environments, and focuses on hands-on practice.

You can systematically learn stock trading automation using Python and the Interactive Brokers API, which holds the top spot in global market share.

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

Through this course, you can learn about Docker and set up a CI environment.

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

Implement the basics of deep learning with Excel and deeply understand its meaning!

This is a lecture on implementing various artificial neural networks using PyTorch, a deep learning framework with very high utility in the field of artificial intelligence.

Packed with LLM fine-tuning know-how from someone working on LLM projects in Silicon Valley.

When you use Pandas for data analysis, preprocessing, machine learning, and deep learning, you tend to use only the functions you use frequently. There is a Pandas Cheat Sheet that collects and organizes only these essential contents. For those who get tired of learning Pandas from a thick book, we will teach you Python Pandas with just two pages of documents. Learn the core functions of Pandas with the cheat sheet provided in the official Pandas tutorial.

No more encyclopedia-like lectures from A to Z! A reference lecture that only collects the best that can be applied directly to real life!

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

This is a lecture on creating and deploying your own GPT using various resources in Azure. From start to finish! Let's deploy a complete service from scratch!

You will learn Apache Airflow, the most widely used Orchestrator for creating software data pipelines.

Let's implement a web service modeled after Pinterest's unique card-type layout design using Django, Python's representative web framework.

Through this course, you will learn to understand SQL and databases, SQL grammar, database design for practical use, database use through programming, and data analysis use cases.

This course is a course that practices the basics of machine learning mathematics and statistics using Python. Machine learning and deep learning require programming skills, but they also require a mathematical background to understand the principles. Through this course, you can gradually learn the basic mathematics required for artificial intelligence.

It explains almost everything surrounding the cloud in an easy-to-understand manner. If you listen to it before the actual practice, you will be able to understand development or infrastructure cloud well.

I will guide non-majors and beginners to quickly pass the Big Data Analysis Engineer practical exam! Theory lightly, practice thoroughly. Even without complex background knowledge, focusing on past questions, we intensively study only the points sure to appear on the exam.

This lecture is Part 3 of the Full Stack Lecture Series and is designed to help you master the latest server technology and Docker technology. This lecture is designed to help you practically incorporate Docker into your tech stack by meticulously testing various Docker options, learning related technologies such as Linux that are necessary for understanding Docker, and even building complex services.

"Still studying with coding books?" A lecture that received a perfect 5.0 rating from MBA graduate students and business undergraduate students at a current London Business School. You can take AI data analysis lectures from home. Even non-majors from liberal arts backgrounds can acquire practical data analysis skills immediately applicable in the field, along with a data analysis portfolio to complete their job search. I am a British Professor who teaches data analysis and project classes using ChatGPT, even without coding knowledge.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

Revolutionize your stock investments with AI! In this course, you'll directly build a working AI auto-trading system for the top 25 NASDAQ stocks. Gain experience and know-how in mock investments using 한국투자증권 API, and get a special chance to do AI stock auto-trading with a real account. Stock beginners will have no problem. We'll easily explain basic stock concepts and why you should invest in US stocks, providing all source code and remote support. From now on, investing is essential for the next 60 years of our lives. Create your own AI investment partner to accompany you!

This training is a hands-on course covering infrastructure construction using Docker container technology, vulnerability analysis, and API web server diagnostics. It is designed to comprehensively learn from the basic concepts of Docker to its application in real-world environments, security vulnerability analysis, and response.