강의

챌린지

멘토링

로드맵

커뮤니티

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

6,824 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)
Thumbnail

Launch of the “Hands-On Machine Learning with Scikit-Learn and PyTorch” Completion Challenge and Coupon Information

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!

Comment

Free