Raina vineet (22 risultati)

Condizione: New.

Condizione: 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.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects.Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice.What You'll Learn Transform business objectives into concrete problems that can be solved using data scienceEvaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a projectBuild and operate an effective interdisciplinary data science team within an organizationEvaluating the progress of the team towards the business RoIUnderstand the important regulatory aspects that are applicable to a data science practice  Who This Book Is ForTechnology leaders, data scientists, and project managers.…

Paperback. Condizione: New. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects.Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice.What You'll Learn Transform business objectives into concrete problems that can be solved using data scienceEvaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a projectBuild and operate an effective interdisciplinary data science team within an organizationEvaluating the progress of the team towards the business RoIUnderstand the important regulatory aspects that are applicable to a data science practice  Who This Book Is ForTechnology leaders, data scientists, and project managers.…

Condizione: New. 2021. Paperback. . . . . .

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

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

Condizione: New.

Condizione: New. In English.

Paperback. Condizione: New. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects.Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice.What You'll Learn Transform business objectives into concrete problems that can be solved using data scienceEvaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a projectBuild and operate an effective interdisciplinary data science team within an organizationEvaluating the progress of the team towards the business RoIUnderstand the important regulatory aspects that are applicable to a data science practice  Who This Book Is ForTechnology leaders, data scientists, and project managers.…

Condizione: As New.

Taschenbuch. Condizione: Neu. Building an Effective Data Science Practice | A Framework to Bootstrap and Manage a Successful Data Science Practice | Vineet Raina (u. a.) | Taschenbuch | xxvi | Englisch | 2021 | Apress | EAN 9781484274187 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condizione: New. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects.Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice.What You'll Learn Transform business objectives into concrete problems that can be solved using data scienceEvaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a projectBuild and operate an effective interdisciplinary data science team within an organizationEvaluating the progress of the team towards the business RoIUnderstand the important regulatory aspects that are applicable to a data science practice  Who This Book Is ForTechnology leaders, data scientists, and project managers.…

Condizione: new. Questo è un articolo print on demand.

PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effecti.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Gain a deep understanding of data science and the thought process needed to solve problems in that field using the required techniques, technologies and skills that go into forming an interdisciplinary team. This book will enable you to set up an effective team of engineers, data scientists, analysts, and other stakeholders that can collaborate effectively on crucial aspects such as problem formulation, execution of experiments, and model performance evaluation.You'll start by delving into the fundamentals of data science - classes of data science problems, data science techniques and their applications - and gradually build up to building a professional reference operating model for a data science function in an organization. This operating model covers the roles and skills required in a team, the techniques and technologies they use, and the best practices typically followed in executing data science projects.Building an Effective Data Science Practice provides a common base of reference knowledge and solutions, and addresses the kinds of challenges that arise to ensure your data science team is both productive and aligned with the business goals from the very start. Reinforced with real examples, this book allows you to confidently determine the strategic answers to effectively align your business goals with the operations of the data science practice.What You'll LearnTransform business objectives into concrete problems that can be solved using data scienceEvaluate how problems and the specifics of a business drive the techniques and model evaluation guidelines used in a projectBuild and operate an effective interdisciplinary data science team within an organizationEvaluating the progress of the team towards the business RoIUnderstand the important regulatory aspects that are applicable to a data science practiceWho This Book Is ForTechnology leaders, data scientists, and project managersSpringer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 396 pp. Englisch.…