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240503 ||| eng |
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4 |
|a Q325.73
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| 100 |
1 |
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|a Nield, Thomas
|e instructor
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| 245 |
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|a What Is logistic regression in 3 minutes?
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| 250 |
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|a [First edition]
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| 260 |
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|a [Place of publication not identified]
|b O'Reilly Media, Inc.
|c 2024
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| 300 |
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|a 1 video file (4 min.)
|b sound, color
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| 653 |
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|a Apprentissage profond
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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 Régression logistique
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| 653 |
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|a Deep learning (Machine learning) / http://id.loc.gov/authorities/subjects/sh2021006947
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Logistic regression analysis / http://id.loc.gov/authorities/subjects/sh00002321
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| 041 |
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|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 856 |
4 |
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|u https://learning.oreilly.com/videos/~/0642572030285/?ar
|x Verlag
|3 Volltext
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|a 006.3/1
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| 520 |
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|a These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression
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