Tag: Mathematical & Statistical

Matlab for Qunatitative Finance: The Crash Course Front Cover

Matlab for Qunatitative Finance: The Crash Course

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  • Length: 399 pages
  • Publication Date: 2024-03-01
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Bayesian Analysis with Python – Third Edition: A practical guide to probabilistic modeling Front Cover

Bayesian Analysis with Python – Third Edition: A practical guide to probabilistic modeling

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  • Length: 394 pages
  • Publication Date: 2024-01-31
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Statistics and Data Analysis for Engineers and Scientists, 2nd Edition Front Cover

Statistics and Data Analysis for Engineers and Scientists, 2nd Edition

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  • Length: 180 pages
  • Publication Date: 2024-03-01
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Essential Guide to Microsoft Excel for All Levels Front Cover

Essential Guide to Microsoft Excel for All Levels

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  • Length: 115 pages
  • Publication Date: 2023-10-28
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A Course in Python: The Core of the Language, 2nd Edition Front Cover

A Course in Python: The Core of the Language, 2nd Edition

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  • Length: 250 pages
  • Publication Date: 2024-01-31
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IBM SPSS Programming | : Learn Fast and Easy Behind Analysis and Statistics Front Cover

IBM SPSS Programming | : Learn Fast and Easy Behind Analysis and Statistics

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  • Length: 124 pages
  • Publication Date: 2023-07-10
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R Programming: A Comprehensive Guide to Statistical Computing Front Cover

R Programming: A Comprehensive Guide to Statistical Computing

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  • Length: 129 pages
  • Publication Date: 2023-11-21
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Machine Learning Methods, 2nd Edition Front Cover

Machine Learning Methods, 2nd Edition

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  • Length: 532 pages
  • Publication Date: 2024-01-23
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Deep R Programming Front Cover

Deep R Programming

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  • Length: 466 pages
  • Publication Date: 2023-06-28
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Exploring University Mathematics with Python, 2nd Edition Front Cover

Exploring University Mathematics with Python, 2nd Edition

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  • Length: 514 pages
  • Publication Date: 2024-02-07
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Numerical Brain Teasers: Exercise Your Mind Front Cover

Numerical Brain Teasers: Exercise Your Mind

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  • Length: 188 pages
  • Publication Date: 2023-01-24
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Introduction to Stochastic Processes Using R Front Cover

Introduction to Stochastic Processes Using R

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  • Length: 671 pages
  • Publication Date: 2023-11-04
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