Demystifying Statistics for Deep Learning Practitioners and Statistical Modeling Mastery for Deep Learning Professionals
What you will learn
You will learn the most common probability distributions such as normal distribution and binomial distribution.
You will learn how to transform skewed data to be normally distributed using different transformation methods such as log, square root, and power transformation
You will learn how to calculate confidence intervals for statistical estimates such as model accuracy.
You will learn the concepts of population data vs sample data.
You will learn what random sampling means and how it affects data analysis.
You will learn the evaluation metrics for classification models.
You will understand what we mean by underfitting and overfitting in machine leaning and statistical modeling.
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