우리 엄마도 할 수 있는 머신러닝 (기초이론)

The first step in learning AI: We've created the perfect curriculum for AI beginners! Second, match the theories and code you've learned! Now it's time for the real world! This is the stage to solidify the foundation and confidence in your knowledge by unraveling the theories you've learned into code.

The first step in learning AI: We've created the perfect curriculum for AI beginners! Second, match the theories and code you've learned! Now it's time for the real world! This is the stage to solidify the foundation and confidence in your knowledge by unraveling the theories you've learned into code.

This is a basic machine learning course for those who don't know much about math and coding but want to understand the trends of machine learning and use machine learning technology to plan products.

An introductory lecture designed for Python beginners with the easiest and most practical approach, where you'll learn intuitive dashboards using Streamlit, Google Cloud Platform for deployment, and also prepare for the Big Data Analysis Engineer practical exam.

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.

Learn about job analysis related to Data Science (DS) and Artificial Intelligence (AI) and the learning and employment roadmap for building a career in related jobs.

Still managing ML experiments manually? 🤔 Automate everything from experiment tracking to model deployment with MLflow and dramatically boost development productivity! A must-have skill for data scientists and ML engineers 💡 Start now! 🚀

We will learn the core technologies of the 4th industrial revolution, such as ICBM (IoT, Cloud, Big Data, ML) and related technologies such as self-driving cars and metaverse, from the basics to develop the ability to prepare for future technological changes.

Create AI data analysis and modeling results into a web program.

Covers linear algebra, which is essential for machine learning/deep learning research.

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

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.

Let's develop the ability to extract useful information from large amounts of data and support decision making!

Learn machine learning concepts, artificial intelligence learning principles, and mathematical principles for model implementation to fully utilize deep learning!

Ace the Big Data Analysis Engineer certification, a must-have credential that's far from easy to self-study, in a short amount of time by mastering the data analysis tool R, known for its ease of use!