Probabilistic Programming, and Bayesian Inference (AddisonWesley Data & Analytics) (AddisonWesley Data & Analytics)
by Cameron DavidsonPilon DavidsonPilon
appears in Statistics, Programming, and Technology.
Master Bayesian Inference through Practical Examples and ComputationWithout Advanced Mathematical Analysis Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely on intensely complex mathematical analyses and artificial examples, making it inaccessible to anyone without a stron...
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Why recommended
appears in Statistics, Programming, and Technology.
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Consider Adaptive Code via C# by Gary McLean.
“Practical and code-focused, Adaptive Code via C# walks through SOLID principles, composition, design patterns, and refactoring techniques with C# examples and refactor walkthroughs. What works best is concrete, copyable techniques that help reduce coupling and make changes safer in a .NET codebase. The limitation is a prescriptive tone and heavy emphasis on C# specifics; readers who lack intermediate OOP experience or who want team/process guidance instead of code-level tactics may find much of the material dense or repetitive.”
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