A story about machine learning written in easy language that even liberal arts students can understand in an instant

Recommended for these students!

As the world advances, times progress, and technology develops

Artificial intelligence and machine learning, which once felt unfamiliar and distant, have now found their place in every corner of our daily lives close to us.

As such, with the recent rapid proliferation of machine learning and artificial intelligence,
I believe there are many of you who are liberal arts students to the bone
who have found yourselves in a situation where you are semi-forced to study AI and machine learning.

There are many related books on the market,
but books written by relevant majors or technical experts
don't match the eye level of liberal arts students down to the bone,

I get a rough sense of what it's like, but it's not clearly understood
For liberal arts students who feel frustrated,
I provide a comprehensive understanding of machine learning and help break down those psychological barriers!

What makes this class different

Lecture structure that matches the practical, relatable level based on the instructor's experience

Although I was a humanities student to the bone, as an economics major who worked as a Samsung Electronics Bixby developer, I provide lectures that truly resonate with actual humanities students based on the trial and error and difficulties I experienced!

A lecture explained in easy, story-like language without formulas

You'll learn about artificial intelligence and machine learning, but no formulas are used at all!

This is a lecture that uses familiar examples that everyone can relate to and explains things in simple, story-like language!

Providing lecture materials that visually reconstruct the instructor's published works

The instructor provides over 140 pages of lecture materials that visually restructure
the book with the same title as the course,
《Machine Learning Stories Explained in Simple Terms That Even Liberal Arts Students Can Understand at Once》,
to make it more visually accessible and easier to grasp at a glance!
(No need to purchase separate textbooks)

What you'll learn in this class

We provide a comprehensive overview of machine learning in general!

• The Concepts and Relationships of Artificial Intelligence, Machine Learning, and Deep Learning

• Machine Learning Process

• Machine Learning Methodologies

• Understanding Deep Learning

• Natural Language Processing

• Key Algorithms: Classification Analysis, Cluster Analysis, Shortest Path Finding

• Understanding Reinforcement Learning

Effects after taking the course

• You can move beyond rough and abstract understanding to gain a concrete grasp of machine learning concepts!

• This course will serve as a bridge, giving you the foundational knowledge and confidence to read other professional technical books!

Instructor Background

○ Graduated with honors (Cum laude) from Seoul National University, Department of Economics

○ Current) CEO of Book Dosa Publishing

○ Current) IT Corporate Training Instructor

• Lectures at LG Uplus, Korea Investment Trust Management, Gyeonggi Business & Science Accelerator (GBSA), and others

○ Current) Daechi Apollo Education Non-curricular Consultant (Guidance for UNIST/DGIST and other science and technology institutes' personal statements, IT/SW-based reports, etc.)

○ Former Software Engineer at Samsung Electronics Development Team

• Software Quality Engineering (SQE)

• Bixby Voice Recognition Preprocessing Performance Evaluation and Natural Language Modeling

• Participated in IoT Lab construction through SmartThings integration

○ Former) Development Team at Sungkyunkwan University Information & Communication Services

• Responsible for developing 'KingGoBot', the first AI chatbot at a domestic comprehensive university (approximately 1 year)

• First domestic comprehensive university to independently develop tuition foreign currency payment service (received internal commendation and multiple media coverage)

• Course Recommendation Service and Our Department Career Status Service ('Challs Senior') Solo Development (Received Company Commendation)

• Law School Mock Bar Examination Grade Management System Joint Development (Received Internal Company Award)

  
  

○ Published "Real Interview Reviews from 20+ Large Corporations, Financial Institutions, Public Organizations, and Educational Staff Positions" (April 2023)

○ Published "Machine Learning Stories Explained in Simple Terms That Even Liberal Arts Students Can Understand at Once" (2nd Edition, November 2024)

○ Publication of "20 Economic Principles That Are Good to Know" (November 2024)