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240604 ||| eng |
| 050 |
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4 |
|a Q325.5
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| 100 |
1 |
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|a Song, Qingquan
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| 245 |
0 |
0 |
|a Automated machine learning in action
|c Qingquan Song, Haifeng Jin, Xia Hu
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| 250 |
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|a [First edition]
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| 250 |
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|a Video edition
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| 260 |
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|a [Shelter Island, New York]
|b Manning Publications
|c 2022
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| 300 |
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|a 1 video file (9 hr., 8 min.)
|b sound, color
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Apprentissage automatique
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| 700 |
1 |
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|a Jin, Haifeng
|e author
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| 700 |
1 |
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|a Hu, Xia
|e author
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a "In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video."
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| 856 |
4 |
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|u https://learning.oreilly.com/videos/~/9781617298059VE/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3/1
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| 520 |
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|a Automated Machine Learning in Action shows you how to save time and get better results using AutoML. As you go, you’ll learn how each component of an ML pipeline can be automated with AutoKeras and KerasTuner. The book is packed with techniques for automating classification, regression, data augmentation, and more. The payoff: Your ML systems will be able to tune themselves with little manual work
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