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Practitioner’s Guide to Data Science
Covers Data Science concepts, processes, and the real-world hands-on use cases. KEY FEATURES ● Covers the journey from a basic programmer to an effective Data Science developer. ● Applied use of Data Science native processes like CRISP-DM and Microsoft TDSP. ● Implementation of MLOps using Microsoft Azure DevOps. DESCRIPTION "How is the Data Science project to be implemented?" has never been more conceptually sounding, thanks to the work presented in this book. This book provides an in-depth look at the current state of the world's data and how Data Science plays a pivotal role in everything we do. This book explains and implements the entire Data Science lifecycle using well-known dat...
The Chachnamah
None
Studies in Modern Religions, Religious Movements and the Båabåi-Bahåa'åi Faiths
Twelve comprehensive studies dedicated to messianism, millenniarism and eschatological thought in Judaism Christianity and Islam that underlies the birth of Hassidism, "Mormonism" and the Bah?'? Faith introduced by the editor's study of the underlying common source of this religious activity.
