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Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms. The book begins with an overview of AIOps, covering its relevance and benefits in the current IT operations landscape. The authors discuss the evolution of AIOps, its architecture, technologies, AIOps challenges, and various practical use cases to efficiently implement AIOps and continuously improve it. The book provides detailed guidance on the role of AIOps in site reliability engineering (SRE) and DevOps models and explains how AIOps enables key SRE principles. 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 is explained and shows how ML can be used to deliver AIOps use cases for IT operations. What You Will Learn Know what AIOps is and the technologies involved Understand AIOps relevance through use cases Understand AIOps enablement in SRE and DevOps Understand AI and ML technologies and algorithms Use algorithms to implement AIOps use cases Use best practices and processes to set up AIOps practices in an enterprise Know the fundamentals of ML and deep learning Study a hands-on use case on de-duplication in AIOps Use regression techniques for automated baselining Use anomaly detection techniques in AIOps Who This Book is For AIOps enthusiasts, monitoring and management consultants, observability engineers, site reliability engineers, infrastructure architects, cloud monitoring consultants, service management experts, DevOps architects, DevOps engineers, and DevSecOps experts.

Computer software --- Artificial intelligence. --- Development. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Development of computer software --- Software development

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps). This book provides in-depth coverage, including operations and technical aspects. The fundamentals of machine learning (ML) and artificial intelligence (AI) that form the core of AIOps are explained as well as the implementation of multiple AIOps uses cases using ML algorithms. The book begins with an overview of AIOps, covering its relevance and benefits in the current IT operations landscape. The authors discuss the evolution of AIOps, its architecture, technologies, AIOps challenges, and various practical use cases to efficiently implement AIOps and continuously improve it. The book provides detailed guidance on the role of AIOps in site reliability engineering (SRE) and DevOps models and explains how AIOps enables key SRE principles. 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 is explained and shows how ML can be used to deliver AIOps use cases for IT operations. What You Will Learn Know what AIOps is and the technologies involved Understand AIOps relevance through use cases Understand AIOps enablement in SRE and DevOps Understand AI and ML technologies and algorithms Use algorithms to implement AIOps use cases Use best practices and processes to set up AIOps practices in an enterprise Know the fundamentals of ML and deep learning Study a hands-on use case on de-duplication in AIOps Use regression techniques for automated baselining Use anomaly detection techniques in AIOps Who This Book is For AIOps enthusiasts, monitoring and management consultants, observability engineers, site reliability engineers, infrastructure architects, cloud monitoring consultants, service management experts, DevOps architects, DevOps engineers, and DevSecOps experts.

Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer software --- Development. --- Development of computer software --- Software development

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"The complex, highly technological field of neurovascular surgery is quickly expanding, encompassing traditional surgical approaches, as well as endovascular and neurointerventional techniques. The last decade has seen increased cross-specialty interest in utilizing minimally invasive techniques to help prevent and treat cerebrovascular disease. Concurrently, there has been important research analyzing the efficacy of surgical methods versus endovascular approaches and the clip versus coil discussion is covered herein.Written by 21st Century pioneers in the field, this second, cutting-edge edition offers the latest science throughout 1,400 pages and a remarkable video library covering anatomy, diagnosis, epidemiology, history, treatment indications, technical nuances, outcomes, and complications. Internationally renowned experts from across the globe share clinical pearls and best practices,from the research lab to the ER to the OR.Medical, surgical, endovascular, cerebral revascularization, bypass surgery, radiation therapy, and other procedures are covered in depth. Evidence-based and transdisciplinary, the second edition covers the full spectrum of neurovascular pathologies,preoperatively and postoperatively,including: Ischemic Stroke and Vascular Insufficiency, Cerebral and Spinal Aneurysms, Cerebral Spinal Arteriovenous Fistulae and Malformations, Vascular Tumors, Carotid Artery Disease, Moya-Moya Disease. Organized into 11 primary sections, 99 richly illustrated chapters, and more than 140 videos, this volume is an invaluable, one-stop reference tool. It is a must-have for general, vascular and endovascular neurosurgeons; interventional radiologists; neurologists; critical care practitioners; and neuro-rehabilitation specialists"--Provided by publisher. "This heavily illustrated book offers step-by-step coverage of all neurovascular operative and diagnostic procedures"--Provided by publisher.

Blood-vessels --- Cerebrovascular disease --- Surgery.