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Top Series in United States

Showing 1 - 12 of 12 results for “thilo michael”
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  • Simulating Conversations for the Prediction of Speech Quality

    by Thilo Michael ...
    Series series Engineering (R0)
    This book discusses the simulation of conversations through a novel approach of predicting speech quality based on the interactions of two simulated interlocutors. The author describes the setup of a simulation environment that is capable of simulating human dialogue on the speech level. The impact of delay and bursty packet loss on VoIP conversations is investigated and modeled for the use in the ... Read more

    $89.99 USD

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  • Data Scientist Pocket Guide

    Over 600 Concepts, Terminologies, and Processes of Machine Learning and Deep Learning Assembled Together

    by Mohamed Sabri ...
    This pocket guide is a must for all data professionals in their day-to-day work processes. This book brings a comprehensive pack of glossaries of machine learning, deep learning, mathematics, and statistics. The extensive list of glossaries comprises concepts, processes, algorithms, data structures, techniques, and many more. Each of these terms is explained in the simplest words possible. This ... Read more

    $14.39 USD or Free with Kobo Plus

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Edited by Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Series series Computer Science (R0)
    This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods ... Read more

    Free

  • Statistical Analysis of Network Data with R

    by Eric D. Kolaczyk, Gábor Csárdi ...
    Series series Mathematics and Statistics (R0)
    Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, ... Read more

    $71.99 USD

  • Computer Analysis of Human Behavior

    Edited by Albert Ali Salah, Theo Gevers ...
    Series series Computer Science (R0)
    This book provides a broad survey of advanced pattern recognition techniques for human behavior analysis. Clearly structured, the book begins with concise coverage of the major concepts, before introducing the most frequently used techniques and algorithms in detail, and then discussing examples of real applications. Features: contains contributions from an international selection of experts in ... Read more

    $49.49 USD

  • Introduction to Resting State fMRI Functional Connectivity

    by Janine Bijsterbosch, Stephen M. Smith, Christian F. Beckmann ...
    Series series Oxford Neuroimaging Primers
    Spontaneous 'resting-state' fluctuations in neuronal activity offer insights into the inherent organisation of the human brain, and may provide markers for diagnosis and treatment of mental disorders. Resting state functional magnetic resonance imaging (fMRI) can be used to investigate intrinsic functional connectivity networks, which are identified based on similarities in the signal measured ... Read more

    $37.79 USD

  • Deep Neural Networks and Data for Automated Driving

    Robustness, Uncertainty Quantification, and Insights Towards Safety

    Edited by Tim Fingscheidt, Hanno Gottschalk, Sebastian Houben ...
    This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and ... Read more

    Free

  • A User’s Guide to Network Analysis in R

    by Douglas Luke ...
    Series series Mathematics and Statistics (R0)
    Presenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data ... Read more

    $76.49 USD

  • New Era for Robust Speech Recognition

    Exploiting Deep Learning

    Edited by Marc Delcroix, Shinji Watanabe, John R. Hershey, Florian Metze ...
    This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and ... Read more

    $170.09 USD

  • A Guide to Convolutional Neural Networks for Computer Vision

    by Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun, Gerard Medioni, Sven Dickinson ...
    Series series Synthesis Lectures on Computer Vision
    Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these ... Read more

    $57.59 USD

  • Modeling Psychophysical Data in R

    by Kenneth Knoblauch, Laurence T. Maloney ...
    Series series Mathematics and Statistics (R0)
    Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, ... Read more

    $80.09 USD

  • Deep Learning Essentials

    Your hands-on guide to the fundamentals of deep learning and neural network modeling

    by Anurag Bhardwaj, Wei Di, Jianing Wei ...
    Get to grips with the essentials of deep learning by leveraging the power of PythonKey FeaturesYour one-stop solution to get started with the essentials of deep learning and neural network modelingTrain different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and moreCovers popular Python libraries such as Tensorflow, Keras, ... Read more

    $27.89 USD or Free with Kobo Plus