Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, the……続きを見る
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
STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians, engineers, scientists, and other STEM researcher……続きを見る
This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plen……続きを見る
Google Engineer Reveals: How to Master the Chromebook and Unlock all the Hidden Features!
The truth is... Older people are used to learning in completely different ways than younger ones, so they ca……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
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
著者:Giovanni Cerulli
出版社: Springer International Publishing
発売日: 2023年11月14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
Winner of the 2016 De Groot Prize from the International Society for Bayesian AnalysisNow in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded fo……続きを見る
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource
Machine Learning for Time Series Forecasting with Python is an incisive and straightfor……続きを見る
著者:Franz Kronthaler
出版社: Springer Berlin Heidelberg
発売日: 2022年11月17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
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspec……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
著者:Alan D. Moore
出版社: Packt Publishing
発売日: 2019年05月24日
An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game development
Key Features
Gain comprehensive knowledge o……続きを見る
Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and……続きを見る
The complete guide to Excel 2019
Whether you are just starting out or an Excel novice, the Excel 2019 Bible is your comprehensive, go-to guide for all your Excel 2019 needs. Whether you use Excel at……続きを見る
The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, suc……続きを見る
Nesse livro você vai embarcar em um reino magico e conhecer os segredos da magia da programação. Um grande mago vai te iniciar na jornada mística de Delphi. E você vai aprender a criar na mesma ferr……続きを見る
This book addresses the application of computing to cultural heritage and the discipline of Digital Humanities that formed around it. Digital Humanities research is transforming how the Human record……続きを見る
This open access book explores the digital transformation of small and rural towns, in particular, how to measure the evolution and development of digital towns. In addition to access to resources, ……続きを見る
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered ……続きを見る
Drawing on the authors' more than six years of R&D in location-based information systems (LBIS) as well as their participation in defining the Java ME Location API 2.0, Location-Based Information Sy……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
Quantum computers are poised to kick-start a new computing revolutionーand you can join in right away. If you’re in software engineering, computer graphics, data science, or just an intrigued comput……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
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hi……続きを見る
Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process b……続きを見る
A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along wit……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