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

Course Introduction

• 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.

Lecture outline

• 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 applying what you learned in the theory lectures directly to practice, you can check your knowledge and apply the content to code, completely destroying your fears and worries about entering the field of artificial intelligence.

• 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 .

How the training is conducted

Practical Lecture STEP

Step-by-step learning content

This course is the second of five curricula. The remaining curricula will be released sequentially.

Lecture Features

🎯 This course consists of theory lectures and code practice for code practice.

🎯 PPT and code practice materials provided

Lecture Preview