Skip to main content
Search Button
United States Kobo store Gift Cards Help

Rakuten Kobo

Wishlist

Shopping Cart

You're getting the VIP treatment!

Item(s) unavailable for purchase
Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.
itemsitem
itemsitem

Recommended For You

Loading...


Showing 1 - 12 of 12 results for “tor dokken”
Skip side bar filters

  • Optimal Surface Fitting of Point Clouds Using Local Refinement

    Application to GIS Data

    by Gaël Kermarrec, Vibeke Skytt, Tor Dokken ...
    Series series Earth and Environmental Science (R0)
    This open access book provides insights into the novel Locally Refined B-spline (LR B-spline) surface format, which is suited for representing terrain and seabed data in a compact way. It provides an alternative to the well know raster and triangulated surface representations. An LR B-spline surface has an overall smooth behavior and allows the modeling of local details with only a limited growth ... Read more

    Free

People who read this also enjoyed

  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    by Philipp K. Janert ...
    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Read more

    $23.09 USD

  • Applied Geostatistics with SGeMS

    A User's Guide

    by Nicolas Remy, Jianbing Wu, Alexandre Boucher ...
    The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying ... Read more

    $58.29 USD

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    by John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and ... Read more

    $49.99 USD

  • Generalized Additive Models

    An Introduction with R, Second Edition

    by Simon N. Wood ...
    Series series Chapman & Hall/CRC Texts in Statistical Science
    The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before ... Read more

    $120.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    by Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Read more

    $27.89 USD or Free with Kobo Plus

  • Circular Statistics in R

    by Arthur Pewsey, Graeme D Ruxton, Markus Neuhäuser ...
    Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind ... Read more

    $37.99 USD

  • Human Re-Identification

    by Ziyan Wu ...
    Series series Computer Science (R0)
    This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in ... Read more

    $89.09 USD

  • Deep Learning For Physics Research

    by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Read more

    $35.99 USD

  • Analyzing Compositional Data with R

    by K. Gerald van den Boogaart, Raimon Tolosana-Delgado ...
    Series series Mathematics and Statistics (R0)
    This book presents the statistical analysis of compositional data sets, i.e., data in percentages, proportions, concentrations, etc. The subject is covered from its grounding principles to the practical use in descriptive exploratory analysis, robust linear models and advanced multivariate statistical methods, including zeros and missing values, and paying special attention to data visualization ... Read more

    $71.99 USD

  • Analysis and Synthesis of Fault-Tolerant Control Systems

    by Magdi S. Mahmoud, Yuanqing Xia ...
    In recent years, control systems have become more sophisticated in order to meet increased performance and safety requirements for modern technological systems. Engineers are becoming more aware that conventional feedback control design for a complex system may result in unsatisfactory performance, or even instability, in the event of malfunctions in actuators, sensors or other system components. ... Read more

    $121.00 USD

  • Keras Reinforcement Learning Projects

    9 projects exploring popular reinforcement learning techniques to build self-learning agents

    by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy ...
    A practical guide to mastering reinforcement learning algorithms using KerasKey FeaturesBuild projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into actionGet to grips with Keras and practice on real-world unstructured datasetsUncover advanced deep learning algorithms such as Monte Carlo, Markov Decision, and Q-learningBook DescriptionReinforcement learning ... Read more

    $41.39 USD or Free with Kobo Plus