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Statistics for Machine Learning: Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

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Build Machine Learning models with a sound statistical understanding.
  • 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.
Complex statistics in machine learning worry a lot of developers. Knowing statistics helps you ...