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« stuart j miller »

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  • Building Statistical Models in Python

    Develop useful models for regression, classification, time series, and survival analysis

    par Huy Hoang Nguyen, Paul N Adams, Stuart J Miller ...
    Make data-driven, informed decisions and enhance your statistical expertise in Python by turning raw data into meaningful insights Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesGain expertise in identifying and modeling patterns that generate successExplore the concepts with Python using important libraries such as stats modelsLearn how to build models on real-world ... En savoir plus

    $42.99 CAD ou Gratuit avec Kobo Plus

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  • Machine Learning for Algorithmic Trading

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

    par Stefan Jansen ...
    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 ... En savoir plus

    $73.59 CAD ou Gratuit avec Kobo Plus

  • Applied Longitudinal Data Analysis for Epidemiology

    A Practical Guide

    par Jos W. R. Twisk ...
    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 ... En savoir plus

    $79.99 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

  • 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

  • Time Series Data Analysis Using EViews

    par I. Gusti Ngurah Agung ...
    Do you want to recognize the most suitable models for analysis of statistical data sets?This book provides a hands-on practical guide to using the most suitable models for analysis of statistical data sets using EViews - an interactive Windows-based computer software program for sophisticated data analysis, regression, and forecasting - to define and test statistical hypotheses. Rich in examples ... En savoir plus

    $155.99 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

  • Machine Learning and Data Science Blueprints for Finance

    par Hariom Tatsat, Sahil Puri, Brad Lookabaugh ...
    Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You'll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP ... En savoir plus

    $67.99 CAD

  • Generalized Linear Models for Insurance Data

    par Piet de Jong, Gillian Z. Heller ...
    Collections series International Series on Actuarial Science
    This is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family ... En savoir plus

    $123.99 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

  • Predictive Modeling Applications in Actuarial Science: Volume 2, Case Studies in Insurance

    Modifié par Edward W. Frees, Glenn Meyers, Richard A. Derrig ...
    Collections series International Series on Actuarial Science
    Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long ... En savoir plus

    $114.99 CAD