Machine Learning That Even My Mom Can Do (Basic Theory)

📢 This lecture is for non-majors.

• Theory is the stepping stone for various code applications.

• As a non-major, I won the grand prize and excellence award in contests, the first prize in competitions, and the grand prize and excellence award for projects in just 5 months .

• You need to know the principles to be able to apply them to various situations and data.

• When learning about artificial intelligence for the first time, various terms are thrown around, and the learning order felt unfamiliar while learning according to the curriculum at the institution . We thought a lot about it and modified and arranged the order so that even beginners can follow along with as little inconvenience as possible .

• Rather than simply explaining mathematical and statistical concepts, when related references are made to models or indicators, the necessity of the corresponding formula or concept is mentioned, making it much easier to understand and convince, making learning smoother.

• We use only the minimum mathematical and statistical concepts necessary for understanding, and even then, we have organized them all into examples for easy understanding.

• By using various visual aids and animations, we have minimized unnecessary lines of text in the material to make it less boring even though it is a theoretical lecture.

  
  

• Those who do not know about machine learning will be able to learn systematically and broadly without feeling burdened, and those who know about machine learning will be able to establish the concept accurately once again.

• This is a basic course that covers almost all parts of machine learning that can be intuitively understood, and concepts such as SVM, ROC-AUC, and dimensionality reduction natural language processing (NLP) are covered in the advanced machine learning theory.

• Since all lectures focus on future deep learning lectures, we recommend this course to those who want to build a solid foundation from machine learning .

🎯 This course consists of only theory lectures without any code practice.

🎯 Animation material provided

🎯 Theory note test provided for review