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Titlebook: MLOps Lifecycle Toolkit; A Software Engineeri Dayne Sorvisto Book 2023 Dayne Sorvisto 2023 Data Science.Machine Learning.DevOps.MLOps.Pytho

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21#
發(fā)表于 2025-3-25 07:06:31 | 只看該作者
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23#
發(fā)表于 2025-3-25 13:43:21 | 只看該作者
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發(fā)表于 2025-3-25 19:08:07 | 只看該作者
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發(fā)表于 2025-3-26 03:29:16 | 只看該作者
ir own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat‘s brain, supported with data from experimental studies. ..This book is particularly suited for graduate students and nonspecialists from related fields w
27#
發(fā)表于 2025-3-26 07:51:43 | 只看該作者
28#
發(fā)表于 2025-3-26 08:51:39 | 只看該作者
Dayne Sorvistoas composed of large ensembles of neurons) by a neural mass model or a subnetwork of interacting neurons. We show that if the dynamics is characterized by well-defined oscillations (neural mass model and subnetworks with strong couplings), the synchronization patterns can be understood by the genera
29#
發(fā)表于 2025-3-26 14:42:00 | 只看該作者
Deploying Stochastic Systems,test for how much value your models are creating in production. We will also discuss how the rise of generative AI may impact data science development in general, build a CI/CD pipeline for our toolkit, and talk about how we can use pre-build cloud services to deploy your models. Without further ado
30#
發(fā)表于 2025-3-26 18:02:28 | 只看該作者
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