Gaurav bhardwaj (67 resultados)

Condición: good. All pages and cover are intact. Dust jacket included if applicable, though it may be missing on hardcover editions. Spine and cover may show minor signs of wear including scuff marks, curls or bends to corners as well as cosmetic blemishes including stickers. Pages may contain limited notes or highlighting. "From the library of" labels may be present. Shrink wrap, dust covers, or boxed set packaging may be missing. Bundled media e.g., CDs, DVDs, access codes may not be included.…

Paperback. Condición: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condición: New. pp. 280.

Condición: New. pp. 280 Index.

Condición: New. pp. 280.

Condición: New.

Condición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Condición: As New. Unread book in perfect condition.

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Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Paperback. Condición: New. 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 andtemplates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.What You Will LearnKnow what AIOps is and the technologies involvedUnderstand AIOps relevance through use casesUnderstand AIOps enablement in SRE and DevOpsUnderstand AI and ML technologies and algorithmsUse algorithms to implement AIOps use casesUse best practices and processes to set up AIOps practices in an enterpriseKnow the fundamentals of ML and deep learningStudy a hands-on use case on de-duplication in AIOpsUse regression techniques for automated baseliningUse anomaly detection techniques in AIOps Who This Book is ForAIOps 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.…

Condición: New.

Paperback. Condición: New. 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 andtemplates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.What You Will LearnKnow what AIOps is and the technologies involvedUnderstand AIOps relevance through use casesUnderstand AIOps enablement in SRE and DevOpsUnderstand AI and ML technologies and algorithmsUse algorithms to implement AIOps use casesUse best practices and processes to set up AIOps practices in an enterpriseKnow the fundamentals of ML and deep learningStudy a hands-on use case on de-duplication in AIOpsUse regression techniques for automated baseliningUse anomaly detection techniques in AIOps Who This Book is ForAIOps 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.…

Condición: New.

Condición: New.

Condición: New.

Condición: New.

Condición: New. 2022. 1st ed. paperback. . . . . .

Condición: New.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 266 pages. 9.25x6.10x0.56 inches. In Stock.

Condición: New. 2022. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

Condición: New.

Condición: New. In English.

Condición: New. 1st ed. edition NO-PA16APR2015-KAP.

Paperback. Condición: New. 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 andtemplates is explained and shows how ML can be used to deliver AIOps use cases for IT operations.What You Will LearnKnow what AIOps is and the technologies involvedUnderstand AIOps relevance through use casesUnderstand AIOps enablement in SRE and DevOpsUnderstand AI and ML technologies and algorithmsUse algorithms to implement AIOps use casesUse best practices and processes to set up AIOps practices in an enterpriseKnow the fundamentals of ML and deep learningStudy a hands-on use case on de-duplication in AIOpsUse regression techniques for automated baseliningUse anomaly detection techniques in AIOps Who This Book is ForAIOps 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.…

Condición: New.

Condición: New.

Condición: New.

Condición: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.