Learn IT - Books tags computational

Introduction to Python for Science and Engineering (Series in Computational Physics)

Routledge, 2018

Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors

Introduction to Python for Science and Engineering

This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise...

Neural Networks in Healthcare: Potential and Challenges

Idea Group Publishing, 2006

Healthcare costs around the globe are on the rise, creating a strong need for new ways of assisting the requirements of the healthcare system. Besides applications in other areas, neural networks have naturally found many promising applications in the health and medicine areas. Neural Networks in Healthcare: Potential and Challenges presents...

Machine Intelligence 13: Machine Intelligence and Inductive Learning (Machine Intelligence)

Oxford University Press, 1994

Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cognitive models of the human brain. Based on the Machine Intelligence Workshop of 1992, held at...

Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies (Intelligent Robotics and Autonomous Agents)

MIT Press, 2008

New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of...

Boosting-Based Face Detection and Adaptation (Synthesis Lectures on Computer Vision)

Morgan and Claypool Publishers, 2010

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...

Scientific Computing with Multicore and Accelerators (Chapman & Hall/CRC Computational Science)

CRC Press, 2010

The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial...

Mastering Predictive Analytics with scikit-learn and TensorFlow: Implement machine learning techniques to build advanced predictive models using Python

Packt Publishing, 2018

Learn advanced techniques to improve the performance and quality of your predictive models

Key Features

Use ensemble methods to improve the performance of predictive analytics models

Implement feature selection, dimensionality reduction, and cross-validation...

Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology)

Humana Press, 2019

This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial...

GPU-Based Techniques for Global Illumination Effects (Synthesis Lectures on Computer Graphics)

Morgan and Claypool Publishers, 2008

Real-time rendering poses severe computational requirements to computers. In order to maintain a continuous looking motion for the human eye, at least 20 images need to be generated in each second. An image consists of about a million pixels, which means that for a single pixel the visible point and its color should be computed in less than 50 ns...

Data Structures and Algorithms with Python (Undergraduate Topics in Computer Science)

Springer, 2015

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms supported by examples that bring meaning to the problems faced by computer programmers. The idea of computational complexity...

AAD Algorithms-Aided Design. Parametric strategies using Grasshopper

Autodesk Press, 2014

Algorithmic design is not simply the use of computer to design architecture and objects. Algorithms allow designers to overcome the limitations of traditional CAD software and 3D modelers, reaching a level of complexity and control which is beyond the human manual ability. Algorithms-Aided Design presents design methods based on the use of...

Computational Physics: Problem Solving with Python

John Wiley & Sons, 2015

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.

This upper-division text provides an...

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