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Showing 1 - 12 of 12 results for “linda pei”
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  • Foundations and Methods of Stochastic Simulation

    A First Course

    by Barry L. Nelson, Linda Pei ...
    Series series Business and Management (R0)
    This graduate-level textbook covers modelling, programming and analysis of stochastic computer simulation experiments, including the mathematical and statistical foundations of simulation and why it works. The book is rigorous and complete, but concise and accessible, providing all necessary background material. Object-oriented programming of simulations is illustrated in Python, while the ... Read more

    $128.99 CAD

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  • Data Mining

    Practical Machine Learning Tools and Techniques

    by Eibe Frank, Mark A. Hall, Ian H. Witten ...
    Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about ... Read more

    $62.39 CAD

  • Data Analysis with Open Source Tools

    A Hands-On Guide for Programmers and Data Scientists

    by Philipp K. Janert ...
    Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ... Read more

    $28.99 CAD

  • Machine Learning for Algorithmic Trading

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

    by 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 ... Read more

    $73.99 CAD or Free with Kobo Plus

  • Data Mining: Concepts and Techniques

    by Jiawei Han, Micheline Kamber, Jian Pei ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Read more

    $82.79 CAD

  • Data Analysis and Data Mining

    An Introduction

    by 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 ... Read more

    $125.99 CAD

  • Data Mining and Statistics for Decision Making

    by 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 ... Read more

    $117.99 CAD

  • Introduction to Data Science

    A Python Approach to Concepts, Techniques and Applications

    by Petia Radeva, Oriol Pujol, Jordi Vitrià, Sergio Escalera, Santi Seguí, Francesc Dantí, Laura Igual, Lluís Garrido, Eloi Puertas ...
    Series series Computer Science (R0)
    This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or ... Read more

    $57.99 CAD

  • Python: Advanced Predictive Analytics

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

    by Ashish Kumar, Joseph Babcock ...
    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... Read more

    $90.99 CAD or Free with Kobo Plus

  • Introduction to Machine Learning, fourth edition

    by Ethem Alpaydin ...
    Series series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... Read more

    $95.99 CAD

  • R Statistics Cookbook

    Over 100 recipes for performing complex statistical operations with R 3.5

    by 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 ... Read more

    $23.99 CAD or Free with Kobo Plus

  • Hands-On Machine Learning for Algorithmic Trading

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

    by 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 ... Read more

    $55.99 CAD or Free with Kobo Plus