Peter prevos (95 resultados)

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Paperback or Softback. Condición: New. Principles of Strategic Data Science. Book.

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Paperback. Condición: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.…

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Paperback or Softback. Condición: New. Emacs Writing Studio. A Practical Guide to Plain Text Writing and Publishing. Book.

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Condición: New. In English.

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Condición: New. pp. 104.

Paperback. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Paperback. Condición: New. This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author's extensive experience.Data Science for Water Utilities: Data as a Source of Value is an applied, practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that, with each case study, increases in complexity. The last case study analyses data using basic machine learning.Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R.…

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Softcover/Taschenbuch. Condición: Neu. Unlock the full potential of your writing process with Emacs Writing Studio, an indispensable guide for writers looking to break free from the constraints of conventional writing tools. Whether you're a novelist crafting intricate tales, a researcher assembling a technical report, or a multitasking author managing various projects, this book is your comprehensive resource for transforming your workflow, ensuring all your writing needs are met.Written by Peter Prevos, a seasoned author and Emacs enthusiast, Emacs Writing Studio demystifies the world of Emacs, a powerful and highly configurable text editor. This book is not just a manual; it's a carefully curated journey through Emacs' capabilities tailored specifically for writers. From ideation to publication, this guide walks you through every stage of the writing process, ensuring that you can focus on what truly matters-your content.With Emacs Writing Studio, you'll learn how to:Organise and Manage Ideas: Use Emacs' robust note-taking features to capture fleeting thoughts, develop them into substantial notes, and weave them into your manuscript.Streamline Writing Workflow: Write distraction-free in a plain text environment, reducing the clutter of modern word processors while enjoying the flexibility to customise your workspace.Export with Ease: Seamlessly publish your work in multiple formats, including PDF, HTML, and ePub, with the powerful export capabilities of Emacs' Org mode.Stay on Track: Manage your writing projects and deadlines effectively, leveraging Emacs' task management tools to keep everything in order.This guide is more than technical instructions-it's an invitation to rethink how you write. Emacs, known for its steep learning curve, becomes accessible with Prevos' guidance. It helps you master the essentials and gradually explore more advanced features as your confidence grows.Whether new to Emacs or looking to refine your existing setup, Emacs Writing Studio will be your go-to reference. It includes practical tips, real-world examples, and a fully annotated configuration that you can tailor to your specific needs, ensuring you're always prepared and ready to tackle your writing projects.Embrace a new way of writing. Equip yourself with the tools to write more efficiently, manage your work precisely, and publish effortlessly. Let Emacs Writing Studio be the companion that empowers your writing journey, giving you the confidence and control you need to succeed. Sprache: Englisch Gewicht in Gramm: 532.…

Condición: New.

Condición: New. In English.

Paperback. Condición: New. Take the strategic and systematic approach to analyze data to solve business problemsKey FeaturesGain detailed information about the theory of data scienceAugment your coding knowledge with practical data science techniques for efficient data analysis Learn practical ways to strategically and systematically use dataBook DescriptionPrinciples of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you'll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By the end of this book, you'll have a good understanding of data science and how it can enable you to extract value from your data.What you will learnGet familiar with the five most important steps of data scienceUse the Conway diagram to visualize the technical skills of the data science teamUnderstand the limitations of data science from a mathematical and ethical perspectiveGet a quick overview of machine learningGain insight into the purpose of using data science in your workUnderstand the role of data science managers and their expectationsWho this book is forThis book is ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed.…