EAN: 9781484274187

BUILDING AN EFFECTIVE DATA SCIENCE PRACTICE - V...

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 science Evaluate how problems and the specifics of a business drive
the techniques and model evaluation guidelines used in a project Build and operate an effective
interdisciplinary data science team within an organization Evaluating the progress of the team
towards the business RoI Understand the important regulatory aspects that are applicable to a
data science practice Who This Book Is For Technology leaders  data scientists  and project
managers

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