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Titlebook: 250 Keywords Bankwirtschaft; Grundwissen für Fach Springer Fachmedien Wiesbaden Book 2019Latest edition Springer Fachmedien Wiesbaden GmbH,

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31#
發(fā)表于 2025-3-26 23:31:33 | 只看該作者
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32#
發(fā)表于 2025-3-27 04:42:03 | 只看該作者
Front Matteroder Gründer lesen, hoffe ich, dass Ihnen dieses Nachschlagewerk ein wertvoller Helfer für die ersten Anf?nge sein wird. Ich gehe davon aus, dass jede Person die Grundlagen der Datenanalyse mit Hilfe moderner Programmiersprachenerlernen kann..978-3-658-33460-4
33#
發(fā)表于 2025-3-27 05:24:28 | 只看該作者
34#
發(fā)表于 2025-3-27 12:09:21 | 只看該作者
D, e.g., the datasets, algorithms, visualization methods, etc..WEKA’s third interface, the Experimenter, as the name implies, helps you perform different experiments, e.g., which classification algorithm is best for which dataset and which parameters help increase the accuracy. There are two other int
35#
發(fā)表于 2025-3-27 15:50:14 | 只看該作者
36#
發(fā)表于 2025-3-27 20:31:11 | 只看該作者
H, model (logistic regression) and an ensemble model (Gradient Boosted Trees). The book introduces DL and an artificial neural network known as the Multilayer Perceptron (MLP) classifier. A way of performing cluster analysis using the K-Means model is covered. Dimension reduction techniques such as Pr
37#
發(fā)表于 2025-3-28 00:43:15 | 只看該作者
I,h an introduction to business analytics, covering why automation is necessary and the level of complexity in automation at each analytic stage. Then, it focuses on how predictive analytics can be automated by using Oracle Data Miner and Oracle R Enterprise. Also, it explains when and why ODM and ORE
38#
發(fā)表于 2025-3-28 04:49:43 | 只看該作者
K,able online and are non-programming based. Data science will allow SMEs to understand their?customer loyalty, market segmentation, sales and revenue increase etc. more clearly.?. Data Science and Analytics for SMEs. is particularly focused on small businesses and explores the analytics and data that
39#
發(fā)表于 2025-3-28 09:48:14 | 只看該作者
L,e. Genetic algorithm, a well-proven global optimization algorithm, has been extended to search the fitness space more efficiently in order to select global optimum feature subset. Real-life data is often vague, so fuzzy logic and rough-set theory are applied to handle uncertainty and maintain consis
40#
發(fā)表于 2025-3-28 13:54:49 | 只看該作者
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