Mathematical and statistical software

Hatcher, Larry

Shostak, Jack

Slaughter, Susan J.

Slaughter, Susan J.

Adrian Salceanu, Salceanu

Adrian Salceanu, Salceanu

Sleeper, Ryan

Sleeper, Ryan

Lopez, Cesar

Hetland, Magnus Lie

Sam Morley, Morley

Jay Dawani, Dawani

Sam Morley, Morley

Jay Dawani, Dawani

Corey Wade, Wade

Corey Wade, Wade

Wolfinger, Russell D.

Watkins, A.J.P.

Gratzer, George

Kaashoek, J.F.

Banchs, Rafael E.

Kaufmann, Stephan

O'Regan, Gerard

O'Regan, Gerard

Kaufmann, Stephan

Glynn, Jerry

Hazrat, Roozbeh

Naeve, Peter

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Business applications > Mathematical and statistical software

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Step-by-Step Approach to Using SAS for Factor Analysis and Structural Equation Modeling, Second Edition

SAS Programming in the Pharmaceutical Industry, Second Edition

Little SAS Book

Little SAS Book

R for Data Science Cookbook

R for Data Science Cookbook

Julia Programming Projects

Julia Programming Projects

Innovative Tableau

Innovative Tableau

MATLAB Numerical Calculations

Python Algorithms

Applying Math with Python

Hands-On Mathematics for Deep Learning

Applying Math with Python

Hands-On Mathematics for Deep Learning

Hands-On Gradient Boosting with XGBoost and scikit-learn

Hands-On Gradient Boosting with XGBoost and scikit-learn

JMP for Mixed Models

Mathematik lernen mit DERIVE

More Math Into LaTeX

Discovering Mathematics with Maple

Text Mining with MATLAB(R)

Crash Course in Mathematica

Concise Guide to Software Engineering

Concise Guide to Software Engineering

Mathematica als Werkzeug Eine Einführung mit Anwendungsbeispielen

Mathematik entdecken mit DERIVE — von der Algebra bis zur Differentialrechnung

Mathematica(R): A Problem-Centered Approach

Computational Statistics