A clear, practical, first-of-its-kind guide to communicating and understanding numbers and data—from bestselling business author Chip Heath. How much bigger …
"Kernel Based Algorithms for Mining Huge Data Sets" is the first book treating the fields of supervised, semi-supervised and unsupervised …
Scientists have proven that stories make the brain light up in ways no other form of communication does. Using story …
Bill Inmon, one of the pioneers of data warehouses for business, defined a warehouse "a subject-oriented, integrated, time variant, and …
Develop your own trading system with practical guidance and expert adviceInBuilding Algorithmic Trading Systems: A Trader's Journey From Data Mining …
Plain English guidance for strategic business analytics and big data implementation In todays challenging economy, business analytics and big data …
Cheers from BookShark With this updated new edition, the market-leading Introduction to the Practice of Statistics (IPS) remains unmatched in …
With this updated new edition, the market-leadingIntroduction to the Practice of Statistics(IPS) remains unmatched in its ability to show how …
Black and white paperback edition, with this new edition released in May 2019.The OpenIntro project was founded in 2009 to …
Principles of Statistics for Engineers and Scientists offers the same crystal clear presentation of applied statistics as Bill Navidi's "Statistics …
WINNER OF THE 2005 DEGROOT PRIZE! This book is for people who want to learn probability and statistics quickly. It …
This book is certainly one of the best intro stat books. There're lots of examples in the book and the …
Choose the right Azure data service and correct model design for successful implementation of your data model with the help …
This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of …
S is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many …
The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of …
Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students …
This book is for developers who are familiar with the .NET Framework and want to dive deep intothe XML features …
Recent years have seen an explosion in new kinds of data on infectious diseases, including data on social contacts, whole …
Introducing a NEW addition to our growing library of computer science titles, Algorithm Design and Applications, by Michael T. Goodrich …
The definitive guide to statistical thinkingStatistics are everywhere, as integral to science as they are to business, and in the …
Whether you're running a business, keeping track of members andmeetings for a club, or just trying to organize a large …
Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, …
The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and …
As described by the authors, the goal of this book is the proposal of a mix of concepts, notations, and …
Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and …
