Titlebook: Data Science Solutions on Azure; Tools and Techniques Julian Soh,Priyanshi Singh Book 20201st edition Julian Soh and Priyanshi Singh 2020 A

glans-penis

https://doi.org/10.1007/978-1-4842-6405-8Azure; Data Scientist; DevOps; Azure Databricks; data abstraction; Big data analytics

后退

978-1-4842-6404-1Julian Soh and Priyanshi Singh 2020

機(jī)構(gòu)

Clinical Diagnosis: “Simple” Patientst innovation, such as machine learning (ML), artificial intelligence (AI), and Internet of Things (IoT). This is not an inaccurate representation since data science is after all the foundation for ML, AI, and IoT.

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從屬

Mutter

https://doi.org/10.1007/978-3-030-44703-8livery and quality of model development through monitoring, validation, and governance of machine learning models. This is equivalent to how DevOps helps software engineers develop, test, and deploy software quicker and with fewer defects. MLOps supports the data science life cycle just as DevOps su

人造

CLAY

painkillers

Statistical Techniques and Concepts in Data Science,e been brought together to solve a business problem, optimize a process, or create predictive models based on data-driven techniques. It is thus imperative that all members of the team have some idea of the statistical techniques and concepts used in data science.