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Titlebook: Data Science and Digital Business; Fausto Pedro García Márquez,Benjamin Lev Book 2019 Springer Nature Switzerland AG 2019 Business Analyti

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樓主: 解毒藥
21#
發(fā)表于 2025-3-25 06:55:57 | 只看該作者
22#
發(fā)表于 2025-3-25 09:04:05 | 只看該作者
Jennifer Feitosa,Adrian Fonsecaces. Following this cycle, the more people use these systems, more data is generated to learn their models and improve their performance, thus increasing the number of users and extending the possibilities for new applications in Digital Business.
23#
發(fā)表于 2025-3-25 12:01:46 | 只看該作者
Clinical Education: Origins and Outcomesng languages. Moreover, we present a successful case study where this computing framework has been used to analyze statistical results using data collected from meteorological stations located in the Canary Islands (Spain).
24#
發(fā)表于 2025-3-25 18:27:20 | 只看該作者
Session Debriefing and Use of Recordingrse models. The trade-offs between maximum risk exposure and travel costs are empirically investigated. As a result, the proposed model consistently exhibits highly considerable advantage on mitigation of public risk exposure whilst incurred less cost loss as compared to other data-driven risk models.
25#
發(fā)表于 2025-3-25 23:03:34 | 只看該作者
26#
發(fā)表于 2025-3-26 03:28:55 | 只看該作者
Deploying a Scalable Data Science Environment Using Docker,ng languages. Moreover, we present a successful case study where this computing framework has been used to analyze statistical results using data collected from meteorological stations located in the Canary Islands (Spain).
27#
發(fā)表于 2025-3-26 04:52:36 | 只看該作者
28#
發(fā)表于 2025-3-26 08:53:55 | 只看該作者
After 2017: Managers Exit and Banks Arise,n to other economic agents, and other agents provide electricity and computing resources to the banks. Also, I point out that a new kind of corporations will arise. The corporations provide products whose marginal cost is zero by replacing the cost to accounting subject to other corporations and consumers.
29#
發(fā)表于 2025-3-26 13:28:03 | 只看該作者
C-LASSO Estimator for Generalized Additive Logistic Regression Based on B-Spline,tional solutions; we will express the LASSO problem as a conic quadratic optimization problem which is a well structured convex optimization program, and solve it great and very efficient interior points methods.
30#
發(fā)表于 2025-3-26 19:55:43 | 只看該作者
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