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Showing 1 - 3 of 3 results for “paul bilokon”
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  • An Introduction to Python for Quantitative Finance

    From Scratch to Productivity

    by Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza ...
    This book is written for both newcomers and experienced practitioners working at the intersection of data science, machine learning, and finance. It is designed to allow readers with no formal prerequisites to enter these fields with confidence, while also providing sufficient depth to be valuable to professionals.Beginning with a gentle introduction to Python, the book gradually progresses to ... Read more

    $35.09 USD

  • Machine Learning in Finance

    From Theory to Practice

    by Matthew F. Dixon, Igor Halperin, Paul Bilokon ...
    Series series Mathematics and Statistics (R0)
    This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the ... Read more

    $80.99 USD

  • Machine Learning and Big Data with kdb+/q

    by Jan Novotny, Paul A. Bilokon, Aris Galiotos, Frederic Deleze ...
    Series series Wiley Finance
    Upgrade your programming language to more effectively handle high-frequency dataMachine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools ... Read more

    $70.00 USD