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Deep Learning & Machine Learning

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)
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haesunpark님의 프로필 이미지
haesunpark

‘Hands-On Machine Learning: The PyTorch Edition’ has been published!

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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