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Feuille de route complète LM
·
Module 2
Mathematical Foundations: Statistics and Calculus
Measures of Central Tendency
Compute measures of central tendency (mean, median, mode) for a given dataset.
2
Variance and Standard Deviation
Compute variance and standard deviation of a dataset.
3
Understanding Probability and Conditional Probability
Define probability and conditional probability.
4
Bayes' Theorem: Solving Probabilistic Problems
Apply Bayes' theorem to solve simple probabilistic problems.
5
Properties of the Normal Distribution
Describe the properties of the Normal (Gaussian) distribution.
6
Understanding and Calculating Correlation
Compute and interpret correlation between two variables.
7
Derivatives: Rates of Change and Finding Minima
Explain how the derivative represents a rate of change and is used to find function minima.
8
Gradients: Direction of Steepest Ascent
Explain the concept of a gradient as the direction of steepest ascent for multivariable functions.
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Mathematical Foundations: Linear Algebra
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Python Environment and Programming Fundamentals