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Mathematical & Statistical Software

  • Advanced Malware Analysisby Christopher Elisan

    McGraw-Hill Education 2015; US$ 65.00

    A one-of-a-kind guide to setting up a malware research lab, using cutting-edge analysis tools, and reporting the findings Advanced Malware Analysis is a critical resource for every information security professional's anti-malware arsenal. The proven troubleshooting techniques will give an edge to information security professionals whose job involves... more...

  • Machine Learning with Rby Brett Lantz

    Packt Publishing 2015; US$ 43.99

    Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required. more...

  • QlikView Your Businessby Oleg Troyansky; Tammy Gibson; Charlie Leichtweis; Lars Bjork

    Wiley 2015; US$ 80.00

    Step-by-step guide to using QlikView and Qlik Sense to unlock the meaning in your data QlikView Your Business shows you how to build dynamic, best-of-breed data visualizations using the QlikView toolset. This full-color, step-by-step guide walks you through the basics of using the tools, then dives deep to provide expert advice on complex implementation... more...

  • Mastering Juliaby Malcolm Sherrington

    Packt Publishing 2015; US$ 43.99

    This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java. more...

  • NumPyby Ivan Idris

    Packt Publishing 2015; US$ 35.99

    This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources. more...

  • Mastering pandasby Femi Anthony

    Packt Publishing 2015; US$ 39.99

    This book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth. more...

  • Reproducible Research with R and R Studio, Second Editionby Christopher Gandrud

    CRC Press 2015; US$ 69.95

    All the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio, Second Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow... more...

  • Dynamic Documents with R and knitr, Second Editionby Yihui Xie

    CRC Press 2015; US$ 69.95

    Quickly and Easily Write Dynamic Documents Suitable for both beginners and advanced users, Dynamic Documents with R and knitr, Second Edition makes writing statistical reports easier by integrating computing directly with reporting. Reports range from homework, projects, exams, books, blogs, and web pages to virtually any documents related to... more...

  • Gephi Cookbookby Devangana Khokhar

    Packt Publishing 2015; US$ 35.99

    If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience. more...

  • Mastering Python for Financeby James Ma Weiming

    Packt Publishing 2015; US$ 39.99

    If you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required. more...