Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Dangeti Pratap
Build Machine Learning models with a sound statistical understanding.Key Features:Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning throu… Celý popis ↓
Porovnanie cien Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Dangeti Pratap
Popis Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Dangeti Pratap
Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R Dangeti Pratap
Build Machine Learning models with a sound statistical understanding.Key Features:Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python.Book Description:Complex statistics in machine learning worry a lot of developers. You will gain Knowing statistics helps you build strong machine learning models that are optimized for a given problem statement.This book will teach you all it takes to perform the complex statistical computations that are required for machine learning.
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- Výrobca
- Packt Publishing Limited
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