Learn IT - Books tags mathematical

Matlab for Engineers

Prentice Hall, 2011

This book grew out of my experience teaching MATLAB® and other computing languages to freshmen engineering students at Salt Lake Community College. I was frustrated by the lack of a text that “started at the beginning.” Although there were many comprehensive reference books, they assumed a level of both mathematical and...

Professional Financial Computing Using Excel and VBA

John Wiley & Sons, 2010

"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial...

Theoretical Computer Science - Proceedings of the 10th Italian Conference on Ictcs '07

World Scientific Publishing, 2007

Many researchers from different countries converged at the 10th Italian Conference on Theoretical Computer Science (ICTCS 2007) to discuss recent developments in theoretical computer science. The volume contains all contributed papers selected for presentation with the invited lectures delivered. The subjects of this book range from logical...

Numerical and Analytical Methods for Scientists and Engineers, Using Mathematica

John Wiley & Sons, 2003

Up to this point in your career you have been asked to use mathematics to solve rather elementary problems in the physical sciences. However, when you graduate and become a working scientist or engineer you will often be confronted with complex real-world problems. Understanding the material in this book is a first step toward...

Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist

Apress, 2017

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Beginning Data Science in R...

Handbook of Computer Vision Algorithms in Image Algebra

CRC Press, 2000

Image algebra is a comprehensive, unifying theory of image transformations, image analysis, and image understanding. In 1996, the bestselling first edition of the Handbook of Computer Vision Algorithms in Image Algebra introduced engineers, scientists, and students to this powerful tool, its basic concepts, and its use in the concise...

Lie Algebras: Theory and Algorithms, Volume 56 (North-Holland Mathematical Library)

North Holland, 2000

The aim of the present work is two-fold. Firstly it aims at a giving an account of many existing algorithms for calculating with finite-dimensional Lie algebras. Secondly, the book provides an introduction into the theory of finite-dimensional Lie algebras. These two subject areas are intimately related. First of all, the algorithmic perspective...

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Cambridge University Press, 2016

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science...

Python Data Analysis

Packt Publishing, 2017

Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code

An easy-to-follow guide with realistic examples that are frequently used in real-world data...

T-SQL Fundamentals (3rd Edition)

Microsoft Press, 2016

Effectively query and modify data using Transact-SQL
Master T-SQL fundamentals and write robust code for Microsoft SQL Server and Azure SQL Database. Itzik Ben-Gan explains key T-SQL concepts and helps you apply your knowledge with hands-on exercises. The book first introduces...

Computer Fundamentals and Programming in C

Oxford University Press, 2013

It provides a thorough understanding of the subject and its applications. The book begins with an introduction to the basic features of a digital computer, number systems and binary arithmetic, Boolean algebra and logic gates, software, operating systems, and the internet. A major part of the book provides a detailed coverage of programming...

Big and Complex Data Analysis: Methodologies and Applications (Contributions to Statistics)

Springer, 2017

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.

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