Hands-on AIOps: Best Practices Guide to Implementing AIOps

By:

Sabharwal, Navin

Contributor(s):

Bhardwaj, Gaurav

Publication details: 2022 New Delhi ApressDescription: xxiii, 243pISBN:

9781484291108

LOC classification:

006.31/SAB/BHA

Summary: The book provides ready-to-use best practices for implementing AIOps in an enterprise. Each component of AIOps and ML using Python code and templates isexplained and shows how ML can be used to deliver AIOps use cases for IT operations.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Symbiosis Institute of Computer Studies and Research Programming Language	006.31/SAB/BHA (Browse shelf(Opens below))	Available		SICSR-B-19684

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Previous	006.31/MUK/SHA PRACTICAL AUTOMATED MACHINE LEARNING ON AZURE	006.31/NAN/PAL Interpreting Machine Learning Models	006.31/NOR Machine Learning with the Raspberry Pi	006.31/SAB/BHA Hands-on AIOps: Best Practices Guide to Implementing AIOps	006.31/SRI/JOS Machine Learning	006.31/ZHE/CAS FEATURE ENGINEERING FOR MACHINE LEARNING: PRINCIPLES AND TECHNIQUES FOR DATA SCIENTISTS	006.312/BEN/KIM DATA ANALYTICS WITH HADOOP: AN INTRODUCTION FOR DATA SCIENTISTS	Next

The book provides ready-to-use best practices for implementing AIOps in an enterprise. Each component of AIOps and ML using Python code and templates isexplained and shows how ML can be used to deliver AIOps use cases for IT operations.

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