This book describes modern tools for data analysis. With the exception of the last chapter, it is concerned with "supervised" methods - those methods in which a sample of cases is available, including values of an outcome variable, and on which one
Twenty-five years have passed since the publication of the Russian version of the book Estimation of Dependencies Based on Empirical Data (EDBED for short). Twentyfive years is a long period of time. During these years many things have happened. Loo
The growth of XML content management applications is boosting the demand for XSLT and XPath skills. This beginning Wrox book provides a firm foundation in the XSLT processing model, giving developers an important skillset. If, like many developers,
书好效果也很好， 1 Introduction and Preview 1 1.1 Preview of the Book 5 2 Entropy, Relative Entropy, and Mutual Information 2.1 Entropy 13 2.2 Joint Entropy and Conditional Entropy 16 2.3 Relative Entropy and Mutual Information 19 2.4 Relationship Between E
Book Descr iption Extensible Stylesheet Language Transformations (XSLT) is a language for transforming XML documents and data from one format to another. Answering the demand for an introductory book on XSLT processing, Ian Williams presents a clear
From Amazon: During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understandin
This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid understanding of a data structure requires three things: First, you must learn ho
Key Features Dive deeper into data mining with Python – don't be complacent, sharpen your skills! From the most common elements of data mining to cutting-edge techniques, we've got you covered for any data-related challenge Become a more fluent and
Core Data is intricate, powerful, and necessary. Discover the powerful capabilities integrated into Core Data, and how to use Core Data in your iOS and OS X projects. All examples are current for OS X El Capitan, iOS 9, and the latest release of Cor
Data Science Essentials in Python: Collect – Organize – Explore – Predict – Value https://pragprog.com/book/dzpyds/data-science-essentials-in-python Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized da
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data
This book is based upon the book Data Structures and Algorithms in Java by Goodrich and Tamassia, and the related Data Structures and Algorithms in C++ by Goodrich, Tamassia, and Mount. However, this book is not simply a translation of those other b
Data Structures and Algorithms in Go Written byBill Broughton This book is just getting started and doesn't have much content yet. Stay tuned. Learning data structures and algorithms is the next step in improving programming skills. Sound knowledge
