Srinath krishnamurthy (31 Ergebnisse)

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Zustand: New. In English.

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Paperback. Zustand: 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. Zustand: 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. …

Zustand: New. 2021. Paperback. . . . . .

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

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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

Zustand: New.

Zustand: New. In English.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Zustand: 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. …

Zustand: New. Print on Demand pp. 298.

Paperback. Zustand: 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. …

Zustand: New. Print on Demand pp. 298.

Zustand: New. PRINT ON DEMAND pp. 298.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The story's focal point is a village Giripura where a fight between nature and Man's greed ends up devastating the entire village. Ramnath who comes to this village to seek refuge in his last days ends up fighting to save whatever is left of the village.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThe story s focal point is a village Giripura where a fight between nature and Man s greed ends up devastating the entire village. nRamnath who comes to this village to seek refuge in his last days ends up fighting to save whateve.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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 Practiceprovides 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 practice Who This Book Is ForTechnology leaders, data scientists, and project managers 396 pp. Englisch.…

Taschenbuch. Zustand: Neu. Souls Of Samaritans | Krishnamurthy Srinath | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Partridge India | EAN 9781482867855 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware.

Zustand: 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.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Krishnamurthy Dr. AnjanDr. Anjan Krishnamurthy has received his B.E, M.Tech and Ph.D degree from from Visveswariah Technological University (VTU), Belgaum, India. He has been awarded Best Performer PG 2010 and Best Doctoral Thesis A.…

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 Practiceprovides 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 practice Who This Book Is ForTechnology leaders, data scientists, and project managers. …