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(9781624650345) - Dimensions: 229 x 305 x 20mm | 1,361g - Format: Paperback | 248 pages - ISBN: 9781624650345 - Languages: English - Publication date: 18 May 2017 - Culver City, United States - Design Studio Press | Tips and Tutorials
(9781624650345) - Dimensions: 229 x 305 x 20mm | 1,361g - Format: Paperback | 248 pages - ISBN: 9781624650345 - Languages: English - Publication date: 18 May 2017 - Culver City, United States - Design Studio Press | Tips and Tutorials
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
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