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Sebastian Laschka et al.: Machine Learning Textbook with Python, scikit-learn, and TensorFlow

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From South Korea
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Description

The machine running and deep-downs are not enough to understand by the execution of the code. If you want to understand machine running and deep-downing properly, you need to know more about related theories and the mathematical concepts behind algorithms. The book explains the concepts and codes that help you understand, how machine running and deep-down core algorithms work, how to use them, which are based on mathematics, practical examples, and how to avoid fallible traps. Using Python language and the machine running core library, which is based on Python, Deeping, using Sciply, 44 Py, gcit-t, bugstickback, and checkout with TensorFake 2. Deepning was particularly greatly modified and reinforced to the latest Tensaple 2. And then GAN and reinforcements are discussed in detail. The machine running and deep-running base are appropriate for someone who wants to be cut.

Korean title: 머신 러닝 교과서 with 파이썬, 사이킷런, 텐서플로

Korean author: 세바스찬 라시카 외

Korean publisher: 길벗

ISBN-13: 9791165215187

Reviews

4.8
Based on 25 reviews
Showing 4 of 25 reviews
IT******
March 26, 2023

Phil reading for machine-murning. It's easy to learn by the machine-murning analysis through the case.

77***
November 29, 2021

It's like the middle version of a book that you learn from the bottom and the handon mascinning. I like studying.

LI*****
June 9, 2021

The most popular technology in the world is machine-murning. Machinedling, which is also a major technology for the fourth industrial revolution, is being used in many areas, from navigation to shopping recommendations. There is a lot of technical access to machine learning. The book Mechanizing Textbooks introduces the skills of Python Guivin, which is most commonly used. This is already the third version. That means that it's a favorite book for so many people. There's a lot of 870 pages. The

PA******
June 7, 2021

I found a very good book, comprehensively dealing with machine-driving and deep-downing. This is a book that has already been translated and translated in the Amazon, enough to maintain its best seller. After the release of the first edition of the book, RN and j3 were added to the second edition of this book, and GAN and reinforcement learning was added to this three edition.

세바스찬 라시카 외: 머신 러닝 교과서 with 파이썬, 사이킷런, 텐서플로
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