A good book on Mathematical modelling

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For effective mathematical modeling using experimental data, a strong foundation in calculus, algebra, probability, and differential equations is essential. "Numerical Recipes in C" is highlighted as a valuable resource for learning numerical methods applicable to modeling. The discussion emphasizes the importance of understanding both theoretical concepts and practical applications in creating predictive models. Recommendations for additional resources and books on mathematical modeling may enhance learning further. Engaging with comprehensive texts can significantly improve modeling skills and prediction accuracy.
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i want to learn how to use experimental data to produce effective mathematical model for good prediction of any phenomenon. my mathematical background is : i know about single and multivariable calculus,college algebra,introductory probability theory,trigonometry,vector algebra and calculus,and differential equations.
 
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Numerical Recipes in C has been quite helpful for me. The 3rd edition now goes by the name Numerical Recipes.
 
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