Ebook , by Sebastian Raschka Vahid Mirjalili
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, by Sebastian Raschka Vahid Mirjalili
Ebook , by Sebastian Raschka Vahid Mirjalili
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Produktinformation
Format: Kindle Ausgabe
Dateigröße: 37302 KB
Seitenzahl der Print-Ausgabe: 624 Seiten
ISBN-Quelle für Seitenzahl: 1787125939
Verlag: Packt Publishing; Auflage: 2 (20. September 2017)
Verkauf durch: Amazon Media EU S.Ã r.l.
Sprache: Englisch
ASIN: B0742K7HYF
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Verbesserter Schriftsatz:
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Durchschnittliche Kundenbewertung:
5.0 von 5 Sternen
1 Kundenrezension
Amazon Bestseller-Rang:
#161.714 Bezahlt in Kindle-Shop (Siehe Top 100 Bezahlt in Kindle-Shop)
Sebastian achieves something really rare: the book is written for applied ML with lots of code, but goes into mathematical depth where needed. The math can be skipped (or later revisited) without losing context.That's just genius!My personal highlights:Page 120: brining features on the same scale can be easily forgotten.Page 136: assessing feature importance with random forestsPage 155: principal component analysis vs. linear discriminant analysis (lots of explanations + code + math = awesome!)Page 214: dealing with class imbalancePage 345: hard vs. soft clusteringI'm not into DL, so I can't comment it.Definitely one of the very best ML books for practitioners on the market while still not being light on theory.Awesome!
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