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1 - 12 de 12 resultados para “matthias templ”
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  • Simulation for Data Science with R

    Effective Data-driven Decision Making

    de Matthias Templ ...
    Harness actionable insights from your data with computational statistics and simulations using RKey Features\[\*\] Learn five different simulation techniques (Monte Carlo, Discrete Event Simulation, System Dynamics, Agent-Based Modeling, and Resampling) in-depth using real-world case studies\[\*\] A unique book that teaches you the essential and fundamental concepts in statistical modeling and ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Datenqualität in Stichprobenerhebungen

    Eine verständnisorientierte Einführung in die Survey-Statistik

    de Andreas Quatember, Matthias Templ ...
    Series series Life Science and Basic Disciplines (German Language)
    Dieses Buch beschäftigt sich mit den praktischen Fragestellungen statistischer Erhebungen (= Surveys) wie sie sich etwa in der empirischen akademischen Forschung, der offiziellen Statistik oder der kommerziellen Markt- und Meinungsforschung stellen:Wodurch unterscheiden sich verschiedene Stichprobendesigns?Wie sind sie praktisch umzusetzen (z. B. mit der Statistik-Freeware R)?Wie lassen sich die ... Leer más

    $28.99 USD

  • Visualization and Imputation of Missing Values

    With Applications in R

    de Matthias Templ ...
    Series series Mathematics and Statistics (R0)
    This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R. It explains the concepts of common imputation methods with a focus on visualization, description of data problems and practical solutions using R, including modern methods of robust imputation, imputation based on deep learning and imputation for ... Leer más

    $161.99 USD

  • Applied Compositional Data Analysis

    With Worked Examples in R

    de Peter Filzmoser, Karel Hron, Matthias Templ ...
    Series series Mathematics and Statistics (R0)
    This book presents the statistical analysis of compositional data using the log-ratio approach. It includes a wide range of classical and robust statistical methods adapted for compositional data analysis, such as supervised and unsupervised methods like PCA, correlation analysis, classification and regression. In addition, it considers special data structures like high-dimensional compositions ... Leer más

    $143.99 USD

  • Statistical Disclosure Control for Microdata

    Methods and Applications in R

    de Matthias Templ ...
    Series series Mathematics and Statistics (R0)
    This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and ... Leer más

    $58.99 USD

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  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    de Stefan Jansen ...
    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Essential Math for Data Science

    Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

    de Thomas Nield ...
    Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those ... Leer más

    $41.99 USD

  • Python: Advanced Predictive Analytics

    Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

    de Ashish Kumar, Joseph Babcock ...
    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... Leer más

    $71.99 USD o gratis con Kobo Plus

  • Statistics for Machine Learning

    Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

    de Pratap Dangeti ...
    Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Data Mining and Statistics for Decision Making

    de Stéphane Tufféry ...
    Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover ... Leer más

    $93.00 USD

  • Modern Time Series Forecasting with Python

    Explore industry-ready time series forecasting using modern machine learning and deep learning

    de Manu Joseph ...
    Build real-world time series forecasting systems which scale to millions of time series by applying modern machine learning and deep learning conceptsKey FeaturesExplore industry-tested machine learning techniques used to forecast millions of time seriesGet started with the revolutionary paradigm of global forecasting modelsGet to grips with new concepts by applying them to real-world datasets of ... Leer más

    $38.99 USD o gratis con Kobo Plus

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

    Algorithms, Worked Examples, and Case Studies

    de 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 ... Leer más

    $49.99 USD