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  • Research Infrastructures for Open Science in Social Science Research

    Lessons from the FOSSR Case

    Series series Social Sciences (R0)
    This open access book provides a comprehensive exploration of research infrastructures (RIs) for open social science research, drawing on the case study of the FOSSR project. It covers the theoretical foundations, policy contexts, and FAIR data principles, before diving into the FOSSR project’s research areas, governance, and capacity building strategies. The final sections focus on computational ... Read more

    Free

  • Econometric Evaluation of Socio-Economic Programs

    Theory and Applications

    Series series Economics and Finance (R0)
    This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, ... Read more

    $102.99 CAD

  • Econometric Evaluation of Socio-Economic Programs

    Theory and Applications

    Series series Economics and Finance (R0)
    This book provides advanced theoretical and applied tools for the implementation of modern micro-econometric techniques in evidence-based program evaluation for the social sciences. The author presents a comprehensive toolbox for designing rigorous and effective ex-post program evaluation using the statistical software package Stata. For each method, a statistical presentation is developed, ... Read more

    $141.99 CAD

  • Fundamentals of Supervised Machine Learning

    With Applications in Python, R, and Stata

    Series series Mathematics and Statistics (R0)
    This book presents the fundamental theoretical notions of supervised machine learning along with a wide range of applications using Python, R, and Stata. It provides a balance between theory and applications and fosters an understanding and awareness of the availability of machine learning methods over different software platforms.After introducing the machine learning basics, the focus turns to a ... Read more

    $109.99 CAD

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    Theory and Applications

    Series series Wiley Series in Probability and Statistics
    A guide to the implementation and interpretation of Quantile Regression modelsThis book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods.The main focus of this book is to provide the reader with a comprehensive description of the main issues concerning quantile regression; these include ... Read more

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  • Privacy, Big Data, and the Public Good

    Frameworks for Engagement

    Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In ... Read more

    $44.99 CAD

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

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  • Algorithmic Realism

    Data Science Practices to Promote Social Justice

    by Ben Green ...
    A bold new vision for data science—and a practical, step-by-step guide for how data scientists can contribute to social justice.The field of data science faces a moral crisis. Despite the desires of data scientists to develop algorithms for good, algorithms regularly produce injustice in practice. Given these persistent harms, the field must reflect on difficult questions about its identity and ... Read more

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  • A Handbook of Analytics

    A Guide to Statistics and Analytics

    by Ankita Sinha ...
    A Handbook of Analytics is a guide to statistics and analytics. Data analytics are used to predict future patterns of data using mathematical and statistical models. Therefore, it is imperative for the professionals working in the field of data analytics to not only be able to use multiple functionalities on various tools but to have in-depth knowledge of statistics, predictive analytics and ... Read more

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  • Data Rules

    Reinventing the Market Economy

    Series series Acting with Technology
    A new social science framework for studying the unprecedented social and economic restructuring driven by digital data.Digital data have become the critical frontier where emerging economic practices and organizational forms confront the traditional economic order and its institutions. In Data Rules, Cristina Alaimo and Jannis Kallinikos establish a social science framework for analyzing the ... Read more

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  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

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  • Applied Longitudinal Data Analysis for Epidemiology

    A Practical Guide

    This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the ... Read more

    $79.99 CAD