Die Design Patterns in diesem Buch zeigen praxiserprobte Methoden und L�sungen f�r wiederkehrende Aufgaben beim Machine Learning. Die Autoren, drei Machine-Learning-Experten bei Google, beschreiben bew�hrte Herangehensweisen, um Data Scientists und Data Engineers bei der L�sung g�ngiger Probleme im gesamten ML-Prozess zu unterst�tzen. Die Patterns b�ndeln die Erfahrungen von Hunderten von Experten und bieten einfache, zug�ngliche Best Practices.In diesem Buch finden Sie detaillierte Erl�uterungen zu 30 Patterns f�r diese Daten- und Problemdarstellung, Operationalisierung, Wiederholbarkeit, Reproduzierbarkeit, Flexibilit�t, Erkl�rbarkeit und Fairness. Jedes Pattern enth�lt eine Beschreibung des Problems, eine Vielzahl m�glicher L�sungen und Empfehlungen f�r die Auswahl der besten Technik f�r Ihre Situation.

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