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Macromedia Flash 5 from Scratch

Que, 2000

Macromedia Flash 5 From Scratch teaches you about the many tools and features of Flash movie creation by building a Flash site for a travel company. In addition to addressing general interface and planning topics, the book covers topics such as creating graphic elements with drawing tools, working with symbols and libraries, and using timelines...

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)

CRC Press, 2007

Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs...

Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data

McGraw-Hill, 2011

Big Data represents a new era in data exploration and utilization, and IBM is uniquely positioned to help clients navigate this transformation. This book reveals how IBM is leveraging open source Big Data technology, infused with IBM technologies, to deliver a robust, secure, highly available, enterprise-class Big Data platform.

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Practical Biomedical Signal Analysis Using MATLAB® (Series in Medical Physics and Biomedical Engineering)

CRC Press, 2011

Practical Biomedical Signal Analysis Using MATLAB^® presents a coherent treatment of various signal processing methods and applications. The book not only covers the current techniques of biomedical signal processing, but it also offers guidance on which methods are appropriate for a given task and...

Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)

Springer, 2013

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more...

Introduction to Algorithms: A Creative Approach

Addison Wesley, 1989

This book emphasizes the creative aspects of algorithm design by examining steps used in the process of algorithms development. The heart of this creative process lies in an analogy between proving mathematical theorems by induction and designing combinatorial algorithms. The book contains hundreds of problems and examples. It is designed to...

Amazing Books

Introduction to Probability and Statistics Using R

K. G. Saur, 2019

This is a textbook for an undergraduate course in probability and statistics. The approximate prerequisites are two or three... More > semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors....

Good Habits for Great Coding: Improving Programming Skills with Examples in Python

Apress, 2018

Improve your coding skills and learn how to write readable code. Rather than teach basic programming, this book presumes that readers understand the fundamentals, and offers time-honed best practices for style, design, documenting, testing, refactoring, and more.

Taking an informal, conversational tone,...

The Art of Computer Programming, Volume 4, Fascicle 2: Generating All Tuples and Permutations

Addison Wesley, 2005

Finally, after a wait of more than thirty-five years, the first part of Volume 4 is at last ready for publication. Check out the boxed set that brings together Volumes 1 - 4A in one elegant case, and offers the purchaser a $50 discount off the price of buying the four volumes individually.

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Algorithms in C, Parts 1-4: Fundamentals, Data Structures, Sorting, Searching (3rd Edition) (Pts. 1-4)

Addison Wesley, 1997

Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each...

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...

Evolutionary Optimization Algorithms

John Wiley & Sons, 2013

A clear and lucid bottom-up approach to the basic principles of evolutionary algorithms

Evolutionary algorithms (EAs) are a type of artificial intelligence. EAs are motivated by optimization processes that we observe in nature, such as natural selection, species migration, bird swarms, human culture, and ant...