An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerge……続きを見る
R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with……続きを見る
著者:Franz Kronthaler
出版社: Springer Berlin Heidelberg
発売日: 2023年03月25日
This book shows you how to analyze data sets systematically and to use Excel 2019 to extract information from data almost effortlessly. Both are (not) an art!
The statistical methods are presented a……続きを見る
Gmail è certamente il servizio di Google più amato e utilizzato: sempre più utenti abbracciano il cloud computing, abbandonano i client di posta tradizionali e trasferiscono la propria posta elettro……続きを見る
Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam!
Written for both new and experienced SAS programmers, the SAS® Certification Prep……続きを見る
This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentatio……続きを見る
著者:Andy Petrella
出版社: O'Reilly Media
発売日: 2023年08月14日
Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If……続きを見る
This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following ……続きを見る
Learn how to automate tasks and create rules in Jira with the help of different use cases
Key Features
Automate daily repetitive and tedious tasks without coding experience
Discover how to automate……続きを見る
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful ……続きを見る
This book provides a comprehensive introduction to blockchain and distributed ledger technology. Intended as an applied guide for hands-on practitioners, the book includes detailed examples and in-d……続きを見る
Solve real-world statistical problems using the most popular R packages and techniques
Key Features
Learn how to apply statistical methods to your everyday research with handy recipes
Foster your a……続きを見る
Functional and Phylogenetic Ecology in R is designed to teach readers to use R for phylogenetic and functional trait analyses. Over the past decade, a dizzying array of tools and methods were genera……続きを見る
The book discusses the concepts of E-Governance from the understanding of a naïve user. While providing introduction to the concept, it shows the status of E-Governance in India through various meas……続きを見る
Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional rel……続きを見る
An indispensable guide for statistical programmers in the pharmaceutical industry.
Statistical programmers in the pharmaceutical industry need to create standardized clinical data using rules create……続きを見る
Explore the infinite possibilities offered by Artificial Intelligence and Neural Networks
KEY FEATURES
● Covers numerous concepts, techniques, best practices and troubleshooting tips by community ex……続きを見る
著者:Andrew T. Duchowski
出版社: Springer International Publishing
発売日: 2017年06月22日
This book focuses on video-based, corneal-reflection eye trackers – the most widely available and affordable type of system, and takes a look at a number of interesting and challenging applications ……続きを見る
In this practical guide, you will learn about the SAP standard tool for data migration, Legacy System Migration Workbench (LSMW). This tool’s functionality is explained step-by-step with practical e……続きを見る
著者:Giovanni Cerulli
出版社: Springer International Publishing
発売日: 2023年12月16日
This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and app……続きを見る
A step-by-step guide that demonstrates how to build simple-to-advanced applications through examples in Julia Lang 1.x using modern tools
Key Features
Work with powerful open-source libraries for d……続きを見る
The author defines “Geometric Algebra Computing” as the geometrically intuitive development of algorithms using geometric algebra with a focus on their efficient implementation, and the goal of this……続きを見る
著者:Alexander Dolgin
出版社: Springer Berlin Heidelberg
発売日: 2022年04月23日
The book describes the main directions for the development of the digital society. The author angles its book to those who are interested to know what would replace search engines, and how social ne……続きを見る
Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the sam……続きを見る
Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully r……続きを見る
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data
Enterprise data and AI projects are often scattershot, underbak……続きを見る
This open access book describes the most important legal sources and principles of data privacy and data protection in China, Germany and the United States. The authors collected privacy statements ……続きを見る
Getrieben durch das rasante Wachstum des Einzelhandels über das Internet (E-Commerce), hat sich das Multi-Channel Retailing fest im Handel etabliert. Unter Multi-Channel Retailing versteht man ein s……続きを見る
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all t……続きを見る
As the sophistication of cyber-attacks increases, understanding how to defend critical infrastructure systemsーenergy production, water, gas, and other vital systemsーbecomes more important, and hea……続きを見る