Learn IT - Today Books

Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

CRC Press, 2011

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

SQL Success - Database Programming Proficiency

Rough Guides, 2013

SQL Success is about problem-solving in SQL. It bridges the gap between dry and dull database theory books, and developer books that focus on giving recipes without explaining sufficiently the reasons behind the recipes or discussing alternative solutions.
Many developers struggle with SQL due to the contrast between...

Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner

SAS Institute, 2006

Using SAS Enterprise Miner, Barry de Ville's Decision Trees for Business Intelligence and Data Mining illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and...

Algorithm Theory - SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory, Turku, Finland, July 3-5, 2002 Proceedings (Lecture Notes in Computer Science)

Springer, 2002

This book constitutes the refereed proceedings of the 8th Scandinavian Workshop on Algorithm Theory, SWAT 2002, held in Turku, Finland, in July 2002.
The 43 revised full papers presented together with two invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on...

Low Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

Springer, 2014

This book details the theory, algorithms, and applications of structured low-rank approximation, and presents efficient local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel and Sylvester structured problems and more....

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

Springer, 2012

From the reviews of the previous editions

".... The book is a first class textbook and seems to be indispensable for everybody who has to teach combinatorial optimization. It is very helpful for students, teachers, and researchers in this area. The author finds a striking synthesis of nice and interesting...

Extending and Embedding Perl

Manning Publications, 2002

An explanation of how to expand the functionality and usefulness of the Perl programming language, this guide delves into the complex issues of using real code examples from the Perl source. Detailed is how to use Perl from C programs, such as writing interfaces to C libraries, implementing Perl callbacks for C libraries, and passing...

Programming with Microsoft Visual Basic 2010 (VB.Net Programming)

Course Technology PTR, 2011

PROGRAMMING WITH MICROSOFT VISUAL BASIC 2010, FIFTH EDITION by the best-selling author, Diane Zak, is designed for a first course in programming. Using the most recent version of the software, Visual Basic 2010, this book teaches individuals how to use Visual Basic applications as they would in a real world setting. Students with no previous...

Foundational and Applied Statistics for Biologists Using R

CRC Press, 2013

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

No Starch Press, 2015

Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.

In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing...

Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press, 2010

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...

Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management

CRC Press, 2012

Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation in communication networks. From the...

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