Modern data science is a unified discipline, and it is presented as such. This book is also an appropriate reference for researchers and entry-level graduate students who need to learn real-world analytics and expand their skill set. Found insideThe book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. Found inside – Page 75While multiple studies have reported the opportunity for Data Analytics in ... Training Data In healthcare, the effectiveness of data analytics tools is ... Each of the topics addressed in the book tackles the data science workflow from a practical perspective, concentrating on the process and results obtained. The implementation and deployment of trained models are central to the book. Found inside – Page xiiBut in the recent times data science and data analytics have become the buzz words . ... Chapter 4 Tools , Technologies , and Methodologies to Support Data ... Found insideThe proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. The peer-reviewed contributions gathered in this book address methods, software and applications of statistics and data science in the social sciences. Who This Book Is For Startup founders, product managers, higher level managers, and any other non-technical decision makers who are thinking to implement data science in their organization and hire data scientists. Tackle the real-world complexities of modern machine learning with innovative, cutting-edge, techniques About This Book Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and ... The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. Found inside – Page 72Bruno's blog post describes how he has struggled to do cheap data science in ... world's potential data scientists of access to the tools and technologies ... Master the techniques and sophisticated analytics used to construct Spark-based solutions that scale to deliver production-grade data science products About This Book Develop and apply advanced analytical techniques with Spark Learn how to ... Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn ... Found inside – Page 449Data science algorithms. In order to choose the best data science tools for QVida+ project, it is important to overview algorithms and techniques that are ... Found inside – Page iLet this book be your guide. Data Science For Dummies is for working professionals and students interested in transforming an organization's sea of structured, semi-structured, and unstructured data into actionable business insights. A basic grasp of data science is recommended in order to fully benefit from this book. This book seeks to promote the exploitation of data science in healthcare systems. Found inside – Page 44To analyze this data, various big data analytics tools have to be used. ... unable to handle big data; therefore a number of big data technologies, tools, ... Found inside – Page 42... the Computer science and IT experts can develop and provide a set of tools, technologies and skills related to the provision of mass-storage for data ... This book is helpful for the students, practitioners, researchers as well as industry professional. This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. Found insideStyle and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. This guide also helps you understand the many data-mining techniques in use today. Found insideViewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Found inside – Page 26Leverage the power of statistics for Data Analysis, Classification, Regression, ... In addition to those mainstream data science tools, you may want to ... "This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"-- "This book introduces the field of data science in a practical and accessible manner, using a hands-on approach that assumes no prior knowledge of the subject. Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. 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