著者:MIT Critical Data
出版社: Springer International Publishing
発売日: 2016年09月09日
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-ba……続きを見る
This book compares and contrasts the principles and practices of rule-based machine translation (RBMT), statistical machine translation (SMT), and example-based machine translation (EBMT). Presentin……続きを見る
著者:Ovidiu Calin
出版社: Springer International Publishing
発売日: 2020年02月13日
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processo……続きを見る
著者:Karl Svozil
出版社: Springer International Publishing
発売日: 2022年04月29日
This open access book addresses the physical phenomenon of events that seem to occur spontaneously and without any known cause. These are to be contrasted with events that happen in a (pre-)determin……続きを見る
Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in P……続きを見る
Provides comprehensive coverage of the most recent developments in the theory of non-Archimedean pseudo-differential equations and its application to stochastics and mathematical physics--offering c……続きを見る
This paper introduces Prediction-at-Risk (PaR) methodology for assessing machine learning (AI/ML) inference risk. PaR is an adaptation of the Value-at-Risk (VaR) technique used in market risk manage……続きを見る
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Advances in Data Science, ICIIT 2018, held in Chennai, India, in December 2018.
The……続きを見る
出版社: Springer International Publishing
発売日: 2022年05月02日
This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence……続きを見る
This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring a……続きを見る
**Recommended by Bill Gates
A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own**
In the world's top research lab……続きを見る
Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether asse……続きを見る
Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustrati……続きを見る
著者:Jean Walrand
出版社: Springer International Publishing
発売日: 2021年06月22日
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processin……続きを見る
著者:Asaf Nachmias
出版社: Springer International Publishing
発売日: 2022年05月02日
This open access book focuses on the interplay between random walks on planar maps and Koebe’s circle packing theorem. Further topics covered include electric networks, the He–Schramm theorem on inf……続きを見る
An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections……続きを見る
This open access book presents the key aspects of statistics in Wasserstein spaces, i.e. statistics in the space of probability measures when endowed with the geometry of optimal transportation. Fur……続きを見る
出版社: Springer International Publishing
発売日: 2020年08月27日
The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such a……続きを見る
著者:Bodo Winter
出版社: Taylor & Francis
発売日: 2019年11月12日
Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more a……続きを見る
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing feature selection algorithms and developing new al……続きを見る
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of the……続きを見る
**Truth, Lies & Statistics: How to Lie with Statistics**
Unlock the secrets of statistical deception with "Truth, Lies & Statistics: How to Lie with Statistics." This friendly, chatty, and slightly ……続きを見る
**Graphs Don't Lie: How to Lie with Graphs and Get Away With It…**
Discover the hidden world of misleading graphs with "Graphs Don't Lie: How to Lie with Graphs and Get Away With It…" This book is y……続きを見る
Probability and Statistics for Data Science: Math + R + Data covers "math stat"ーdistributions, expected value, estimation etc.ーbut takes the phrase "Data Science" in the title quite seriously:
* R……続きを見る
In a world where we are constantly being asked to make decisions based on incomplete information, facility with basic probability is an essential skill. This book provides a solid foundation in basi……続きを見る
Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. ……続きを見る
出版社: Springer International Publishing
発売日: 2019年05月14日
The three volume-set LNCS 11476, 11477, and 11478 constitute the thoroughly refereed proceedings of the 38th Annual International Conference on the Theory and Applications of Cryptographic Technique……続きを見る
Practice your way to a higher statistics score
The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct ……続きを見る
The essential guide for data scientists and for leaders who must get more from their data science teams
The Economist boldly claims that data are now "the world's most valuable resource." But, as Ke……続きを見る
"This is truly an outstanding book. [It] brings together all of the latest research in clinical trials methodology and how it can be applied to drug development…. Chang et al provide applications to……続きを見る