우리 엄마도 할 수 있는 머신러닝 (기초실습)

The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!

The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!

This is a basic machine learning course that briefly covers the basic machine learning theory for those who are new to machine learning.

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.

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

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.

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.

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

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.

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

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! 🚀

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

This is a comprehensive machine learning project course that learns various useful machine learning regression and classification projects along with theory using Python and TensorFlow 2 based on Boston Marathon big data.

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

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!