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  • Optimizing Decision Trees for the Analysis of World Englishes and Sociolinguistic Data

    Series series Elements in World Englishes
    This Element introduces PrInDT (Prediction and Interpretation in Decision Trees), a statistical approach for modeling relationships between extra- and intralinguistic variables in World Englishes. It is based on decision trees and controls their size in a way that they are easy and straightforward to interpret. Furthermore, PrInDT optimizes their accuracy so that they best fit the data and can be ... Leer más

    $18.89 USD

  • Statistics Today

    Everyday Applications, Research Questions, Insights, and Challenges

    Series series Mathematics and Statistics (R0)
    This book offers a broad selection of statistical applications to everyday situations, illustrating how exciting and diverse statistical analysis can be. It covers a wide variety of topics, including offering hearing-impaired people the option to enjoy music, extracting meaningful quantitative data from texts, and modeling flood disasters to help get a better grip on them. Most of the examples are ... Leer más

    $40.49 USD

  • Music Data Analysis

    Foundations and Applications

    Series series Chapman & Hall/CRC Computer Science & Data Analysis
    This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in ... Leer más

    $94.99 USD

  • Foundations of Statistical Algorithms

    With References to R Packages

    Series series Chapman & Hall/CRC Computer Science & Data Analysis
    A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms. It emphasizes recurring themes in all statistical ... Leer más

    $94.99 USD

  • Analysis and Modeling of Complex Data in Behavioral and Social Sciences

    Series series Springer Nature Proceedings excluding Computer Science
    This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address ... Leer más

    $49.49 USD

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  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de 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, ... Leer más

    $27.89 USD o gratis con Kobo Plus

  • Machine Learning - A Journey To Deep Learning: With Exercises And Answers

    This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning ... Leer más

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  • Practical Mathematics for AI and Deep Learning

    A Concise yet In-Depth Guide on Fundamentals of Computer Vision, NLP, Complex Deep Neural Networks and Machine Learning (English Edition)

    To construct a system that may be referred to as having ‘Artificial Intelligence,’ it is important to develop the capacity to design algorithms capable of performing data-based automated decision-making in conditions of uncertainty. Now, to accomplish this goal, one needs to have an in-depth understanding of the more sophisticated components of linear algebra, vector calculus, probability, and ... Leer más

    $14.39 USD o gratis con Kobo Plus

  • Academic Press Library in Signal Processing

    Signal Processing Theory and Machine Learning

    Series Libro 1 - Academic Press Library in Signal Processing
    This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain ... Leer más

    $265.49 USD

  • Exploratory Data Analysis in Business and Economics

    An Introduction Using SPSS, Stata, and Excel

    de Thomas Cleff ...
    Series series Mathematics and Statistics (R0)
    In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and ... Leer más

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  • Modeling Discrete Time-to-Event Data

    Series series Mathematics and Statistics (R0)
    This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many ... Leer más

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  • Statistical Models in Epidemiology

    This self-contained account of the statistical basis of epidemiology has been written specifically for those with a basic training in biology, therefore no previous knowledge is assumed and the mathematics is deliberately kept at a manageable level. The authors show how all statistical analysis of data is based on probability models, and once one understands the model, analysis follows easily. In ... Leer más

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