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Python for Probability and Statistics in Machine Learning: Learn Core Probability Concepts, Statistical Methods, and Data Modeling Techniques to Build Smarter AI Systems

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En stock

Peso con empaque:
1.12 kg

Devolución:
Sí

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Nuevo

Producto de:
Amazon

Sobre este producto

Understand probability fundamentals and simulate random events with Python
Work with major distributions like Normal, Binomial, and Poisson
Perform hypothesis testing and interpret p-values correctly
Apply Bayesian statistics for smarter AI decision-making
Use regression, correlation, and model assumptions effectively
Build simulations and apply Monte Carlo methods for predictive modeling
Evaluate and compare machine learning models with real statistical rigor
Analyze time series data and forecast trends using ARIMA and statistical models
Covers both classical and modern statistical techniques
Integrates real Python examples using NumPy, SciPy, and statsmodels
Includes practical case studies for machine learning and AI projects
Designed for self-learners, students, and working professionals alike

U$S 39,60

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U$S 22,00

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U$S 39,60

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Python for Probability and Statistics in Machine Learning: Learn Core Probability Concepts, Statistical Methods, and Data Modeling Techniques to Build Smarter AI Systems

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