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« lori d bougher »

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  • Quantitative Social Science

    An Introduction in Stata

    par Kosuke Imai, Lori D. Bougher, Raymond P. Hicks ...
    The Stata edition of the groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. ... En savoir plus

    $74.79 CAD

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  • The Fundamentals of Political Science Research

    par Paul M. Kellstedt, Guy D. Whitten ...
    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 ... En savoir plus

    $55.99 CAD

  • Data Mining and Statistics for Decision Making

    par 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 ... En savoir plus

    $117.99 CAD

  • 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

    par Rongpeng Li ...
    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 ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

  • Hands-On Machine Learning for Algorithmic Trading

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

    par 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 ... En savoir plus

    $55.99 CAD ou Gratuit avec Kobo Plus

  • Data Science for Economics and Finance

    Methodologies and Applications

    Modifié par Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana ...
    Collections series Computer Science (R0)
    This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in ... En savoir plus

    Gratuit

  • Data Analysis Using SAS Enterprise Guide

    par 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 ... En savoir plus

    $74.99 CAD

  • Deep Learning for Finance

    Creating Machine & Deep Learning Models for Trading in Python

    par Sofien Kaabar ...
    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 ... En savoir plus

    $57.99 CAD

    Aussi disponible en : Livre audio

    Aussi disponible en : Livre audio

  • Using R for Data Analysis in Social Sciences

    A Research Project-Oriented Approach

    par 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 ... En savoir plus

    $43.99 CAD

  • AI-Assisted Statistics for Data Scientists

    50+ Essential Concepts Using R and Python

    par Peter Bruce, Andrew Bruce, Peter Gedeck ...
    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 ... En savoir plus

    $67.99 CAD

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

    par Abhay Kumar Singh, David Edmund Allen ...
    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 ... En savoir plus

    $29.99 CAD

  • Statistics for Machine Learning

    Implement Statistical methods used in Machine Learning using Python (English Edition)

    par Himanshu Singh ...
    This book talks about Statistical concepts in detail, with its applications in Python. The book starts with an introduction to Statistics and moves on to cover some basic Descriptive Statistics concepts such as mean, median, mode, etc. You will then explore the concept of Probability and look at different types of Probability Distributions. Next, you will look at parameter estimations for the ... En savoir plus

    $21.99 CAD ou Gratuit avec Kobo Plus