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 Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikit-learn.
This revision is fully updated with new content on social media data analysis, image ... |  |  Text Mining: Applications and Theory
Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the use of techniques from machine... |  |  SAS/FSP 9.2 Procedures GuideProvides complete descriptions of all statements, options, windows, and commands that can be used with SAS/FSP software's FSBROWSE, FSEDIT, FSLETTER, and FSVIEW procedures.
The procedures in SAS/FSP software provide convenient interactive facilities for data
entry, editing, and retrieval. Using SAS/FSP software you can
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 |  |  Managing and Mining Graph Data (Advances in Database Systems)Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific... |  |  NHibernate 2.x Beginner's Guide
NHibernate is an open source object-relational mapper, or simply put, a way to retrieve data from your database into standard .NET objects. Quite often we spend hours designing the database, only to go back and re-design a mechanism to access that data and then optimize that mechanism. This book will save you time on your project, providing... |
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