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Hands-On Machine Learning 2

This course covers the content of the Amazon bestseller <Hands-On Machine Learning, 2nd Edition>. You will learn various machine learning algorithms and evaluation methods using Scikit-Learn, a representative machine learning library. Additionally, you will build a foundation in both theory and practice, ranging from artificial neural networks to reinforcement learning, using the most famous deep learning libraries, TensorFlow and Keras. This course is not yet complete. One to two lectures will be added every week.

(4.7) 60 reviews

6,800 learners

Level Basic

Course period Unlimited

Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Keras
Keras
Reinforcement Learning(RL)
Reinforcement Learning(RL)
Tensorflow
Tensorflow
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Keras
Keras
Reinforcement Learning(RL)
Reinforcement Learning(RL)
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News

7 articles

  • haesunpark님의 프로필 이미지

    Hello, this is Haeseon Park.

    The “Hands-On Machine Learning with Scikit-Learn and PyTorch” Complete Reading Challenge has been launched to coincide with the publication!

    In this challenge, you can take the video lectures and code walkthrough lectures for free, and you can also receive discount coupons for other previous courses. There are also mileage and early-bird coupon events provided by Hanbit Media, so be sure to check them out and don’t miss them.

    To celebrate the challenge launch, we’re sending existing course students a 50% discount coupon!

    • 'Hands-On Machine Learning with Scikit-Learn and PyTorch' Challenge discount coupon issuance link: https://inf.run/8F1KH

    If you receive the discount coupon through the link above, you can join the challenge at a 50% discounted price. This link is valid for 3 days, and once you issue the coupon, you must use it within 1 day.

    We look forward to seeing you again in the 'Hands-On Machine Learning with Scikit-Learn and PyTorch' challenge! Thank you!

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  • haesunpark님의 프로필 이미지

    Hello, this is Haeseon Park.

    A new book has been published, and I’m excited to share the news. It’s the PyTorch edition of , the best-selling machine learning book in the world!

    입체표지.jpg

    Even better news is that the Inflearn Challenge for <Hands-On Machine Learning: PyTorch Edition> is being prepared! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is currently accepting applications. In particular, everyone who signs up for the challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) will receive a free coupon for the challenge for <Hands-On Machine Learning: PyTorch Edition>. Both books come with useful lectures, so don’t miss this opportunity to master the best books in machine learning and deep learning all at once! The challenge for <Deep Learning with Python, Third Edition> (https://inf.run/DPba3) is accepting applications until October 10. Once registration closes, you will not be able to sign up for the challenge later (this is not possible due to the Inflearn system, and there is nothing I can do to help).

    Then I hope to see you in the challenge and the challenge. Thank you! :)

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  • haesunpark님의 프로필 이미지

    Hello, this is Haeseon Park.

    As mentioned earlier, the <Deep Learning with Keras, 3rd Edition> Complete Reading Challenge (https://inf.run/H3pU3) is now open!

    To celebrate the launch, it is currently 30% off. If you participate in the Complete Reading Challenge, you will receive the following benefits.

    • You can follow along with the free YouTube course <Deep Learning with Python, 3rd Edition> (to be created) at your own pace.

    • <Deep Learning with Python, Third Edition, from the Creator of Keras: Code Walkthrough> Inflearn paid course (coming soon) offering a free coupon (worth 90,000 won)


    • <Learn LLM by Building from Scratch> Inflearn paid course(https://inf.run/WjvTL)50% discount coupon provided (worth 45,000 won)

    • <Machine Learning, Get to the Core Quickly!> Inflearn paid course (https://inf.run/1cv1q)50% discount coupon provided (worth 20,000 won)

    • <Large Language Models, Learn the Essentials Quickly!> Inflearn paid course(https://inf.run/njgW2)50% discount coupon provided (worth 20,000 won)

    • Additional benefits upon completing the challenge

      • Upon completing the challenge, you will receive 20,000 points that can be used like cash on the Gilbut website (Thank you to Gilbut Publishing for sponsoring the points.)

    Would you like to take on the Deep Learning Complete Reading Challenge together? I’ll be back with the challenge lecture videos~ :)

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  • haesunpark님의 프로필 이미지

    Hello, this is Haeseon Park!

    It’s been a while. I’m pleased to share news of a new book release and the launch of a challenge.

    The third edition of <Deep Learning from the Keras creator>, the translated edition of the renowned Deep Learning with Python written by François Chollet, has been published!

    image.png

    The 3rd edition of *Deep Learning with Python* has been updated for Keras version 3 and includes instructions and code examples for using TensorFlow, PyTorch, and JAX as backends. In addition to changes to Keras, you can build and practice with the latest models—including transformers, LLMs, and diffusion models—to keep up with recent advances in generative AI.

    It is currently available for preorder at online bookstores. [Kyobo Bookstore] [Yes24] [Aladin]

    We’re launching an Inflearn book-completion challenge to coincide with the publication of <Deep Learning from the Creator of Keras, 3rd Edition>! In this challenge, we’ll read the book together over 10 weeks and complete it. By joining the challenge, you’ll be able to take the paid course on <Deep Learning from the Creator of Keras, 3rd Edition> for free, as well as receive 50% discount coupons for other paid courses! Don’t miss this incredible opportunity to learn about deep learning and large language models.

    • Those who have previously purchased my paid courses (not the challenge) will receive a 50% discount coupon when the challenge opens. Please wait for the email!

    The <Deep Learning with Python, Third Edition> challenge is currently under review, and registration will open on Friday, September 18. After recruiting participants for three weeks, the challenge will run for 10 weeks, from October 11 to December 19. I’ll let you know again when registration opens.

    Thank you! :)

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  • haesunpark님의 프로필 이미지

    Hello. I'm Haesun Park.

    It's been a while, but I'm happy to announce the publication of a new book.

    <AI and Machine Learning for Coders> author Laurence Moroney's new book <Llama 2 and Beyond: A Guide to LLMs with PyTorch> has been published!

    The previous book focused on deep learning applications using the TensorFlow ecosystem. This book uses PyTorch instead of TensorFlow and focuses on generative AI, such as LLMs and diffusion models. It is now available at online and offline bookstores! The e-book has also been released! 🙂

    I have created a short video summarizing what's new compared to the previous edition. Share this video on your social media, and five winners will be selected to receive a copy of from Hanbit Media! You must register on the Google Form after sharing it on social media. Please refer to the instructions below!

    • Video URL to share: https://youtu.be/vEwY31kDtl4

    • Please register the SNS URL where your shared content can be viewed in the Google Form (https://forms.gle/9CMP37YMugpkA8G96).

    • If you cannot register the URL address, please upload a screenshot instead.

    • Event Period: 3/5 (Thu) ~ 3/13 (Fri)

    • Winner Announcement: 3/16 (Mon) (Winners will be contacted individually)

    The books will be sent directly by Hanbit Media.

    We look forward to your participation.

    Thank you!

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  • haesunpark님의 프로필 이미지

    Hello. I'm Haesun Park.

    Wishing everyone lots of blessings in 2026! 🙂

    The main content explanation for the "Machine Learning, Just the Essentials!" course has been completed. Following that, "Large Language Models, Just the Essentials!" will also be fully completed soon. The good news is that author Andriy Burkov has given permission to use the supplementary content from the original book's wiki in the courses. Explanations about this content will be added to both courses, so please look forward to it! Following these two books, the "LLM Fine-Tuning" book will be published soon. I will inform you again when pre-orders begin.

    Also, this time through Insight Publishing, I'm sending you a discount coupon for the "Learn PyTorch Deep Learning in 10 Days" course on Inflearn. Please take a moment to browse the course and purchase it at a discounted price if you need it. I hope this will be helpful to anyone who was planning to take a course like this!

    >>>>> Inflearn Course Discount Coupon for Learning PyTorch Deep Learning in 10 Days

    ■ Course Title: Learn PyTorch Deep Learning Basics in 6 Days Discount Coupon

    Discount coupon: 25% off - https://inf.run/UFttZ

    Have a great afternoon. Thank you!

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  • haesunpark님의 프로필 이미지

    Hello. I'm Park Haeseon.

    Are you having a pleasant weekend? 🙂 I have news about a new book publication to share with you.

    The Hundred-Page book series written by Andriy Burkov, who led the machine learning team at Gartner, has been published through Insight Publishing! Both <The Hundred-Page Machine Learning Book> and <The Hundred-Page Language Models Book> are bestsellers that gained high popularity on LeanPub and Amazon. These two books have been released as <Machine Learning, Just the Essentials!> and <Large Language Models, Just the Essentials!> respectively.

    These two books thoroughly explore the true nature of machine learning and large language models through theory and examples. Although they are relatively thin books of about 200 pages, their style of progressing step by step from basic mathematical theory to reach the summit is remarkably honest and excellently captures the essence. I recommend them to everyone who wants to experience the fundamentals of machine learning and large language models! They are currently available for pre-order at online bookstores. 🙂


    -- P.S.: If you enroll in the <Building and Learning LLM from Scratch> GitHub + bonus content commentary lecture during this week (2025.10.17~2025.10.26), we will randomly select four people to receive and as gifts. Thank you for your interest!

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