This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic programming language.
The book is divided into four par……続きを見る
Learn an entire two-year MBA programme in a few short hours with this quick and easy-to-read illustrated guide
An MBA is the best way to get ahead in business. The Visual MBA is your shortcut to und……続きを見る
Understanding the world of R programming and analysis has never been easier
Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis wi……続きを見る
著者:Yinglin Xia, Jun Sun
出版社: Springer International Publishing
発売日: 2023年06月16日
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R software. It covers core analysis topics in both bioi……続きを見る
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you t……続きを見る
A self-contained introduction to abstract interpretation–based static analysis, an essential resource for students, developers, and users.
Static program analysis, or static analysis, aims to discov……続きを見る
Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use……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
Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by covering both pillars of supervised learning, namely regression and classif……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
Construct, analyze, and visualize networks with networkx, a Python language module. Network analysis is a powerful tool you can apply to a multitude of datasets and situations. Discover how to work ……続きを見る
Understand the concept of Domain-driven design and build two DDD systems from scratch that can be showcased as part of your portfolioKey FeaturesExplore Domain-driven design as a timeless concept an……続きを見る
This innovative textbook presents material for a course on modern statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting resear……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
著者:Sev Leonard
出版社: O'Reilly Media
発売日: 2023年07月13日
The low cost of getting started with cloud services can easily evolve into a significant expense down the road. That's challenging for teams developing data pipelines, particularly when rapid change……続きを見る
著者:Jack Shostak
出版社: SAS Institute
発売日: 2014年03月01日
This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry This one-stop resource offers a complete review of what entry- to inte……続きを見る
This book was first published in 2003. Combinatorica, an extension to the popular computer algebra system Mathematica®, is the most comprehensive software available for teaching and research applica……続きを見る
Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytesâ??or over 50 million gigabytesâ??of genomic data, an……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
著者:Carl Allchin
出版社: O'Reilly Media
発売日: 2020年08月03日
For self-service data preparation, Tableau Prep is relatively easy to useーas long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up ……続きを見る
著者:Al McDivitt
出版社: Access Resource Group
発売日: 2021年10月09日
ESP32 Wi-Fi Web Server How to Control a Relay Locally Without Internet
Control Robots, Model Railways, Maker Projects etc.
Ever wanted to control a relay (or maybe a servo), attached to one of our p……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
Learn how to extend the capabilities of Power Apps by building code components using Power Apps Component Framework
Key Features
Understand how to extend Power Apps' capabilities
Enhance your skill……続きを見る
Renowned Excel experts Bill Jelen (MrExcel) and Tracy Syrstad explain how to build more powerful, reliable, and efficient Excel spreadsheets.
Use this guide to automate virtually any routine Excel t……続きを見る
著者:Henry C. Foley
出版社: Elsevier Science
発売日: 2021年06月25日
Introduction to Chemical Engineering Analysis Using Mathematica, Second Edition reviews the processes and designs used to manufacture, use, and dispose of chemical products using Mathematica, one of……続きを見る
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results……続きを見る
Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key Features • Explore Amazon Qui……続きを見る
著者:David J. Olive
出版社: Springer International Publishing
発売日: 2017年04月19日
This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error di……続きを見る
著者:Rick Wicklin
出版社: SAS Institute
発売日: 2013年04月22日
Data simulation is a fundamental technique in statistical programming and research. Rick Wicklin's Simulating Data with SAS brings together the most useful algorithms and the best programming techni……続きを見る