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Author: George Peper
Publisher: Artisan Books
Published: 2010-01-01
Total Pages: 321
ISBN-13: 1579653952
DOWNLOAD EBOOKThe most challenging, most invigorating holes a golfer can tackle. In this beautiful book, Peper and Campbell, two writers who know golf inside and out, provide a concise and entertaining tour of the world's best links courses. Full color.
Author: Zhezhen Jin
Publisher: Springer
Published: 2016-10-28
Total Pages: 218
ISBN-13: 3319425714
DOWNLOAD EBOOKThe papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.
Author: Ravikanth Kothuri
Publisher: Apress
Published: 2012-01-03
Total Pages: 825
ISBN-13: 1430242884
DOWNLOAD EBOOKNow available in paperback— Pro Oracle Spatial for Oracle Database 11g shows how to take advantage of Oracle Databases built–in feature set for working with location–based data. A great deal of the information used in business today is associated with location in some way, and analysis of that data is becoming ever more important in today's mobile and highly connected world. In Pro Oracle Spatial for Oracle Database 11g, authors Ravi Kothuri and Albert Godfrind address: The special nature of spatial data and its role in professional and consumer applications Issues in spatial data management such as modeling, storing, accessing, and analyzing spatial data The Oracle Spatial solution and the integration of spatial data into enterprise databases How spatial information is used to understand business and support decisions, to manage customer relations, and to better serve private and corporate users When you read Pro Oracle Spatial for Oracle Database 11g, you’re learning from the very best. Ravi Kothuri is a key member of Oracle’s Spatial development team. Albert Godfrind consults widely with Oracle clients on the implementation of Oracle Spatial, develops training courses, and presents frequently at conferences. Together they have crafted a technically sound and authoritative fountain of information on working with spatial data in the Oracle database.
Author: Wenjun Zhang
Publisher: World Scientific
Published: 2018-05-18
Total Pages: 568
ISBN-13: 1786345102
DOWNLOAD EBOOKAs the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.
Author: Borko Furht
Publisher: Springer Science & Business Media
Published: 2011-12-10
Total Pages: 795
ISBN-13: 1461414156
DOWNLOAD EBOOKData Intensive Computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. The challenge of data intensive computing is to provide the hardware architectures and related software systems and techniques which are capable of transforming ultra-large data into valuable knowledge. Handbook of Data Intensive Computing is written by leading international experts in the field. Experts from academia, research laboratories and private industry address both theory and application. Data intensive computing demands a fundamentally different set of principles than mainstream computing. Data-intensive applications typically are well suited for large-scale parallelism over the data and also require an extremely high degree of fault-tolerance, reliability, and availability. Real-world examples are provided throughout the book. Handbook of Data Intensive Computing is designed as a reference for practitioners and researchers, including programmers, computer and system infrastructure designers, and developers. This book can also be beneficial for business managers, entrepreneurs, and investors.
Author:
Publisher:
Published: 1996
Total Pages: 332
ISBN-13:
DOWNLOAD EBOOKAuthor: American Statistical Association. Annual Meeting
Publisher:
Published: 1986
Total Pages: 830
ISBN-13:
DOWNLOAD EBOOKAuthor: Ivan Idris
Publisher: Packt Publishing Ltd
Published: 2016-07-22
Total Pages: 462
ISBN-13: 1785283855
DOWNLOAD EBOOKOver 140 practical recipes to help you make sense of your data with ease and build production-ready data apps About This Book Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed books Who This Book Is For This book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn Set up reproducible data analysis Clean and transform data Apply advanced statistical analysis Create attractive data visualizations Web scrape and work with databases, Hadoop, and Spark Analyze images and time series data Mine text and analyze social networks Use machine learning and evaluate the results Take advantage of parallelism and concurrency In Detail Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios. Style and Approach The book is written in “cookbook” style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.
Author: Ravikanth Kothuri
Publisher: Apress
Published: 2004-11-15
Total Pages: 693
ISBN-13: 1430207353
DOWNLOAD EBOOK* With Oracle 10g, for the first time, much of the Spatial functionality is provided for free (rather than as a priced option) in the database, thus massively increasing the potential audience. * Shows how any Oracle application that has a spatial element (e.g. postcode) can take advantage of Spatial functionality. * Contains case studies of more advanced applications of Spatial in healthcare, telecom ,retail, and distribution . * Oracle Spatial is recognized to be the standard platform for enterprise land management, mapping, telecom, transportation, and utility applications. Every major GIS tool vendor supports Oracle Spatial and all major map data providers deliver their data in Oracle Spatial format. * The book will be based on extensive feedback from training courses, discussion lists, and customers. It will recommend best practice approaches to the most common problems with which developers struggle. * The authors are all experienced and well-respected experts. The Oracle personnel contributing have a decade of experience with Spatial and in helping partners and customers fully leverage its capabilities. The technical reviewers include lead developers of the product. * Rather than simplified code snippets, the book provides real solutions that people can then build upon themselves.
