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Deep Learning & Machine Learning

<Machine Learning, Fast & Focused!> Completion Challenge

This is a 5-week challenge to complete the book <Machine Learning, Fast & Focused!> (Insight, 2025). Don't miss this golden opportunity to learn machine learning along with abundant benefits!

Machine Learning(ML)
Deep Learning(DL)
Artificial Neural Network
AI

60개 수업 학습

6회 미션 수행

연계 강의 무료 제공

수료시 추가 강의/챌린지 제공

무제한 복습, 내 것으로 만들어요.

질문하고 즉시 답을 얻어요.

성취의 증표, 수료증을 발급해요.

haesunpark님과 함께해요!

23,193

Learners

424

Reviews

131

Answers

4.9

Rating

11

Courses

I majored in mechanical engineering, but since graduation, I have been consistently reading and writing code. I am a Google AI/Cloud GDE and a Microsoft AI MVP. I run the TensorFlow blog (tensorflow.blog) and enjoy exploring the boundary between software and science by writing and translating books on machine learning and deep learning.

ml-dl-roadmap.png.webp

 He has authored "Deep Learning by Building Alone" (Hanbit Media, 2025), "Machine Learning + Deep Learning Alone (Revised Edition)" (Hanbit Media, 2025), "Data Analysis with Python Alone" (Hanbit Media, 2023), "The Art of Conversing with ChatGPT" (Hanbit Media, 2023), and "Do it! Introduction to Deep Learning" (EasysPublishing, 2019).

He has translated dozens of books into Korean, including "LLM Fine-Tuning: Quick Core Concepts!" (Insight, 2026), "Learning LLM & AI with PyTorch" (Hanbit Media, 2026), "Large Language Models: Quick Core Concepts!" (Insight, 2025), "Machine Learning: Quick Core Concepts!" (Insight, 2025), "Learning LLM by Building from Scratch" (Gilbut, 2025), "Hands-On LLM" (Hanbit Media, 2025), "Machine Learning Q & AI" (Gilbut, 2025), "Mathematics for Developers" (Hanbit Media, 2024), "Practical ML Problem Solving with Python" (Hanbit Media, 2024), "Machine Learning Textbook: PyTorch Edition" (Gilbut, 2023), "Stephen Wolfram's ChatGPT Lecture" (Hanbit Media, 2023), "Hands-On Machine Learning, 3rd Edition" (Hanbit Media, 2023), "Generative Deep Learning, 2nd Edition" (Hanbit Media, 2023), "Python for Awakening the Coding Brain" (Hanbit Media, 2023), "Natural Language Processing with Transformers" (Hanbit Media, 2022), "Deep Learning with Python, 2nd Edition" (Gilbut, 2022), "Machine Learning & Deep Learning for Developers" (Hanbit Media, 2022), "Gradient Boosting with XGBoost and Scikit-Learn" (Hanbit Media, 2022), "Deep Learning with TensorFlow.js" (Gilbut, 2022), and "Introduction to Machine Learning with Python, 2nd Edition" (Hanbit Media, 2022).

More

Challenge Schedule

  • Recruitment Period: 10/30 (Thu) ~ 11/12 (Wed)

  • Challenge Schedule: 11/13(Thu) ~ 12/17(Wed) (5 weeks)

  • Weekly Reading Amount: Read 2 chapters per week, from Chapter 1 to Chapter 10


  • A certificate of completion will be issued if you complete all missions and reach a 100% course completion rate within the challenge period. If the missions are not completed, a certificate cannot be issued.

  • E-book release date: November 14th; e-books are also included in the book purchase verification.

Challenge Benefits

  • Free coupon for the <Machine Learning, Just the Essentials!> course (valued at 40,000 KRW)


  • <Learning LLMs by Building from Scratch> Course (https://inf.run/wQDh8) 50% discount coupon provided (worth 30,000 KRW)

  • Additional benefits upon completion of the challenge

    • Free coupon for the <Large Language Models, Fast & Focused!> course (valued at 40,000 KRW) (Scheduled to be issued after December 17th)

    • <LLM Fine-tuning, Just the Essentials Fast!> (To be published) Challenge free coupon provided (20,000 KRW value) (Challenge opening and free coupon issuance schedule to be announced later)

  • Benefits are provided as Inflearn coupons. Please be sure to refer to the precautions below.

<Precautions> Must Read!!!

  • On November 13th, the free coupon issuance link for the <Machine Learning, Fast & Core!> course and the 50% discount coupon issuance link for the <Learning LLM by Building from Scratch> course will be sent to challenge participants via the email registered on Inflearn.

  • Please check in advance if you can receive emails from Inflearn. If the email is marked as spam, we will not be able to re-issue it later. If you have any issues receiving emails from Inflearn, please contact the Inflearn Help Desk.

  • The validity period of this link is 3 days. You must issue your free and discount coupons through the link within 3 days. After 3 days, the link will become invalid and you will not be able to issue the coupons!

  • The issued coupons must be used within 1 day!

  • Upon completion of the challenge, a free coupon link for the "Large Language Models, Fast & Core!" course will be sent to your email immediately. Additionally, a free coupon link will be emailed to you when the challenge for the upcoming book "LLM Fine-Tuning, Fast & Core!" (to be published) opens. The methods for issuing and using the coupons are the same as described above.

About the Book

Less complex theory, more essential core concepts!

The most concise guide to mastering machine learning

This book is a bestseller translated into 11 languages and used as a textbook in thousands of universities worldwide, explaining machine learning in a concise and clear manner. It covers everything from basic mathematical concepts to core algorithms, deep learning, and neural networks step-by-step, providing a complete toolkit for solving modern machine learning problems such as clustering, topic modeling, metric learning, and recommendation systems. By connecting theory with practical implementation focusing on essential industry skills, it allows anyone to learn quickly and effectively.

Based on extensive practical experience, the author explains techniques that can be directly applied to real-world projects, such as feature engineering, regularization, handling imbalanced datasets, ensembles, and model evaluation. Composed of intuitive explanations and examples rather than being bogged down by complex formulas, it is useful for everyone from beginners who want to build a solid foundation to practitioners looking to expand their professional capabilities.

Purchase

Reviews

“It is remarkable to have covered such a wide range of topics in just about 100 pages. While most thin books omit the mathematics, this book does not. I also truly loved how it clearly explains core concepts in short sentences. This book is useful for beginners and also helpful for experienced practitioners who need a broad overview.”
- Aurélien Géron (Senior AI Engineer, Author of 《Hands-On Machine Learning》)

“Andriy attempted the impossible task of summarizing the entirety of machine learning in about 100 pages, and he has done an excellent job of selecting both theoretical and practical content useful for practitioners. This book will provide a great foundation as an introductory guide for readers new to machine learning.”
- Peter Norvig (Research Director at Google, co-author of the world-renowned AI textbook AIMA)

Purchase Book

cover-the-ml-book

11월

12일

챌린지 시작일

2025년 11월 12일 PM 03:00

챌린지 종료일

2025년 12월 17일 PM 02:59

챌린지 커리큘럼

All

66 lectures

Course Materials:

챌린지에서 배워요

  • Supervised and unsupervised learning algorithms, including deep neural networks

  • Intuitive and clear explanations of algorithm and mathematical concepts that capture the essence.

  • Practical techniques for model building, debugging, and evaluation

  • Advanced topics such as ensembles, recommendation systems, and metric learning

Recommended for
these people

Who is this course right for?

  • Those who are learning machine learning for the first time

  • Those who want to learn everything from linear regression and logistic regression to ensemble and neural network theories.

  • Those who want to review the machine learning algorithms they learned previously

  • Those who need a solid understanding of machine learning theory

Reviews

All

20 reviews

4.8

20 reviews

  • calculator님의 프로필 이미지
    calculator

    Reviews 163

    ∙

    Average Rating 4.9

    5

    100% enrolled

    Thank you.

    • galaxia999님의 프로필 이미지
      galaxia999

      Reviews 11

      ∙

      Average Rating 5.0

      5

      63% enrolled

      The book was somewhat difficult to read alone, but the lectures were well understood.

      • creatingevery님의 프로필 이미지
        creatingevery

        Reviews 14

        ∙

        Average Rating 5.0

        5

        100% enrolled

        It still seems difficult for me. I'll review it again. Thank you.

        • haesunpark
          Instructor

          Cheer up. You can do it!

      • bluesds9742님의 프로필 이미지
        bluesds9742

        Reviews 2

        ∙

        Average Rating 5.0

        5

        30% enrolled

        It feels like difficult content has been organized in an easy-to-understand way.

        • haesunpark
          Instructor

          I'm glad it was easy to understand. Thank you!

      • bongwoochoi님의 프로필 이미지
        bongwoochoi

        Reviews 3

        ∙

        Average Rating 5.0

        5

        100% enrolled

        취소 및 환불 규정
        챌린지는 지식공유자가 설정한 수업 최소 정원이 충족되지 않을 경우, 폐강 안내가 고지되며 결제 내역이 자동취소됩니다.

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