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Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be.
Data Science in Practice is the ideal introduction to data science. With or without math skills: Here you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be.
The goal of this book is to get leaders and practitioners to start thinking about how they may deploy techniques outside their function or industry into their domain. Application of modern technology into new areas is one of the fastest, most effective ways to improve results.
The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.
Understand the ramifications caused by Big Tech's disruption into finance and ensure your organization will profit from blockchain rather than being disrupted by it.
With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks.
This book presents advanced image processing methods and algorithms focused on three very important roots of urban remote sensing: 3D urban... Læs mere
This book provides every necessary detail required to develop the secure searchable encryption scheme using both symmetric and asymmetric cryptographic... Læs mere
Cloud Security: Concepts, Applications and Perspectives discusses the state-of-the-art techniques and methodologies, and covers wide range of examples and illustrations to effectively show the principles, algorithms, applications and practices of security in cloud computing.
Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using data science in the field of sensory and consumer science through real-world applications.This book is the ideal guide to using data science to drive insights.