Foundations of Data Science with Python
portes grátis
Foundations of Data Science with Python
Shea, John M.
Taylor & Francis Ltd
02/2024
464
Mole
Inglês
9781032350424
15 a 20 dias
Descrição não disponível.
1. Introduction 2. First Simulations, Visualizations, and Statistical Tests 3. First Visualizations and Statistical Tests with Real Data 4. Introduction to Probability 5. Null Hypothesis Tests 6. Conditional Probability, Dependence, and Independence 7. Introduction to Bayesian Methods 8. Random Variables 9. Expected Value, Parameter Estimation, and Hypothesis Tests on Sample Means 10. Decision Making with Observations from Continuous Distributions 11. Categorical Data, Tests for Dependence, and Goodness of Fit for Discrete Distributions 12. Multidimensional Data: Vector Moments and Linear Regression 13. Working with Dependent Data in Multiple Dimensions
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computational statistics;resampling techniques;scientific data analysis;simulation methods;statistical inference;dimensionality reduction;interactive data science learning
1. Introduction 2. First Simulations, Visualizations, and Statistical Tests 3. First Visualizations and Statistical Tests with Real Data 4. Introduction to Probability 5. Null Hypothesis Tests 6. Conditional Probability, Dependence, and Independence 7. Introduction to Bayesian Methods 8. Random Variables 9. Expected Value, Parameter Estimation, and Hypothesis Tests on Sample Means 10. Decision Making with Observations from Continuous Distributions 11. Categorical Data, Tests for Dependence, and Goodness of Fit for Discrete Distributions 12. Multidimensional Data: Vector Moments and Linear Regression 13. Working with Dependent Data in Multiple Dimensions
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
