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A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural...
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

Probability: With Applications and R
Probability: With Applications and R

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

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Clustering (IEEE Press Series on Computational Intelligence)
Clustering (IEEE Press Series on Computational Intelligence)
Clustering has become an increasingly important topic in recent years, caused by the glut of data from a wide variety of disciplines. However, due to the lack of good communication among these communities, similar theories or algorithms are redeveloped many times, causing unnecessary waste of time and resources. Furthermore, different terminologies...
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

Algorithms: Design and Analysis (De Gruyter Textbook)
Algorithms: Design and Analysis (De Gruyter Textbook)

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the...

Algorithms Sequential & Parallel: A Unified Approach (Electrical and Computer Engineering Series)
Algorithms Sequential & Parallel: A Unified Approach (Electrical and Computer Engineering Series)
A major thrust of computer science is the design, analysis, implementation, and scientific evaluation of algorithms to solve critical problems. In addition, new challenges are being offered to computer scientists in the field of computational science and engineering, which includes challenging problems in computational biology, computational fluid...
MATLAB Matrix Algebra (Matlab Solutions)
MATLAB Matrix Algebra (Matlab Solutions)

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable expressive power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to...
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

The aim of this book is to teach computer programming using examples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python...

Natural Language Processing with Python
Natural Language Processing with Python
This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to work with large...
Boosting-Based Face Detection and Adaptation (Synthesis Lectures on Computer Vision)
Boosting-Based Face Detection and Adaptation (Synthesis Lectures on Computer Vision)
With the rapid increase of computational powers and availability of modern sensing, analysis and rendering equipment and technologies, computers are becoming more and more intelligent. Many research projects and commercial products have demonstrated the capability for a computer to interact with human in a natural way by looking at...
unlimited object storage image
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