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Showing 1 - 12 of 12 results for “anna heath”
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  • Bayesian Cost-Effectiveness Analysis with the R package BCEA

    by Gianluca Baio, Andrea Berardi, Anna Heath, Nathan Green ...
    Series series Mathematics and Statistics (R0)
    The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R ... Read more

    $89.09 USD

  • Value of Information for Healthcare Decision-Making

    Edited by Anna Heath, Natalia Kunst, Christopher Jackson ...
    Series series Chapman & Hall/CRC Biostatistics Series
    ***Value of Information for Healthcare Decision-Making***introduces the concept of Value of Information (VOI) use in health policy decision-making to determine the sensitivity of decisions to assumptions, and to prioritise and design future research. These methods, and their use in cost-effectiveness analysis, are increasingly acknowledged by health technology assessment authorities as vital.Key ... Read more

    $73.99 USD

  • Bayesian Cost-Effectiveness Analysis with the R package BCEA

    by Gianluca Baio, Andrea Berardi, Anna Heath ...
    Series series Mathematics and Statistics (R0)
    The book provides a description of the process of health economic evaluation and modelling for cost-effectiveness analysis, particularly from the perspective of a Bayesian statistical approach. Some relevant theory and introductory concepts are presented using practical examples and two running case studies. The book also describes in detail how to perform health economic evaluations using the R ... Read more

    $76.49 USD

  • Audiobook

    Mama Love and Her Spilled Milk

    by Jimmy Andrews ...
    Narrated by Jimmy Andrews, Vicki Jo Eva, Liz Fletcher, Susan Lavelle, Debra Gordon, Candyce Weir, Anna Heath, Jennifer Still, Andrew Hobdy, William W. Wallace0 ...

    Unabridged

    4 hours 12 min

    The therapist has a problem. Her patient is in love with her. The therapist has romantic feelings for her patient, too. Meanwhile, the patient's husband is having an affair with his wife's mother. The daughter is fully aware of their taboo relationship and embraces it. The functioning chaos unravels when one of them is poisoned. The only person who knows who did it has dementia and can't be ... Read more

    $6.99 USD or Free with Kobo Plus

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

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    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 ... Read more

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  • Statistics for Machine Learning

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

    by 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 ... Read more

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  • Hands-On Machine Learning for Algorithmic Trading

    Design and implement investment strategies based on smart algorithms that learn from data using Python

    by Stefan Jansen ...
    Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsDevelop neural networks for algorithmic trading to perform time series ... Read more

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  • Generative AI for Trading and Asset Management

    by Hamlet Jesse Medina Ruiz, Ernest P. Chan ...
    Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategiesGenerative AI for Trading and Asset Management is an essential guide to understand how generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate ... Read more

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  • Data Analysis Using SAS Enterprise Guide

    by Lawrence S. Meyers, Glenn Gamst, A. J. Guarino ...
    This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of ... Read more

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  • MATLAB for Machine Learning

    Practical examples of regression, clustering and neural networks

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    Extract patterns and knowledge from your data in easy way using MATLABKey FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book ... Read more

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  • Understanding Statistics in the Behavioral Sciences

    by Roger Bakeman, Byron F. Robinson ...
    Understanding Statistics in the Behavioral Sciences is designed to help readers understand research reports, analyze data, and familiarize themselves with the conceptual underpinnings of statistical analyses used in behavioral science literature. The authors review statistics in a way that is intended to reduce anxiety for students who feel intimidated by statistics. Conceptual underpinnings and ... Read more

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  • Feature Engineering and Selection

    A Practical Approach for Predictive Models

    by Max Kuhn, Kjell Johnson ...
    Series series Chapman & Hall/CRC Data Science Series
    The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate ... Read more

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