Description - Modeling Change and Uncertainty: Machine Learning and Other Techniques by William P. Fox
- Covers both linear and nonlinear models of discrete dynamical systems.
- Introduces statistics and probability modeling
- Introduces critical statistical concepts to handle univariate and multivariate data.
- Establishes a foundation in probability modeling.
- Uses ordinary differential equations (ODEs) to develop a more robust solution to problems.
- Uses linear programming and machine learning to support decision making.
- Introduces the reality of uncertainty and randomness that is all around us
- Discusses the use of linear programing to solve common problems in modern industry.
- Discusses he power and limitations of simulations
- Introduces the methods and formulas used in businesses and financial organizations.
- Introduces valuable techniques using Excel, MAPLE, and R
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