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« elena llaudet »

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  • Data Analysis for Social Science

    A Friendly and Practical Introduction

    par Elena Llaudet, Kosuke Imai ...
    An ideal textbook for complete beginners—teaches from scratch R, statistics, and the fundamentals of quantitative social scienceData Analysis for Social Science provides a friendly introduction to the statistical concepts and programming skills needed to conduct and evaluate social scientific studies. Assuming no prior knowledge of statistics and coding and only minimal knowledge of math, the book ... En savoir plus

    $54.99 CAD

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  • An Introduction to Statistical Learning

    with Applications in R

    par Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani ...
    Collections series Mathematics and Statistics (R0)
    An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant ... En savoir plus

    $83.99 CAD

  • Statistics for Machine Learning

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

    par 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 ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Data Analysis and Data Mining

    An Introduction

    par Adelchi Azzalini, Bruno Scarpa ...
    An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in communications and those working in a technological or scientific capacity-who have ... En savoir plus

    $125.59 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

  • R Statistics Cookbook

    Over 100 recipes for performing complex statistical operations with R 3.5

    par Francisco Juretig ...
    Solve real-world statistical problems using the most popular R packages and techniquesKey FeaturesLearn how to apply statistical methods to your everyday research with handy recipesFoster your analytical skills and interpret research across industries and business verticalsPerform t-tests, chi-squared tests, and regression analysis using modern statistical techniquesBook DescriptionR is a popular ... En savoir plus

    $23.99 CAD ou Gratuit avec Kobo Plus

  • 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

  • MATLAB for Machine Learning

    Practical examples of regression, clustering and neural networks

    par Giuseppe Ciaburro ...
    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 ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus