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  • Quantitative Social Science

    An Introduction in tidyverse

    A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for ... Leer más

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  • Images as Data for Social Science Research

    An Introduction to Convolutional Neural Nets for Image Classification

    Series series Elements in Quantitative and Computational Methods for the Social Sciences
    Images play a crucial role in shaping and reflecting political life. Digitization has vastly increased the presence of such images in daily life, creating valuable new research opportunities for social scientists. We show how recent innovations in computer vision methods can substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used ... Leer más

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

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  • The Fundamentals of Political Science Research

    The third edition of the best-selling The Fundamentals of Political Science Research provides an introduction to the scientific study of politics. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on politics. The authors present an integrated approach to research design and empirical analyses whereby researchers can ... Leer más

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  • Data Mining and Statistics for Decision Making

    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

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  • Essential Statistics for Non-STEM Data Analysts

    Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

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    Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programmingKey FeaturesWork your way through the entire data analysis pipeline with statistics concerns in mind to make reasonable decisionsUnderstand how various data science algorithms functionBuild a solid foundation in statistics for data ... Leer más

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  • Data Analysis Using SAS Enterprise Guide

    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 ... Leer más

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  • Using R for Data Analysis in Social Sciences

    A Research Project-Oriented Approach

    de Quan Li ...
    Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences ... Leer más

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  • Deep Learning for Finance

    Creating Machine & Deep Learning Models for Trading in Python

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    Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement ... Leer más

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  • Learning Data Science

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  • R In Finance And Economics: A Beginner's Guide

    This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model ... Leer más

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  • AI-Assisted Statistics for Data Scientists

    50+ Essential Concepts Using R and Python

    Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The third edition of this popular guide expands its practical foundations in R and Python into the modern AI toolkit, with new chapters on neural networks, deep learning, and large language models ... Leer más

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