الأساسيات الرياضية للذكاء الاصطناعي بشكل بصري
ذكاء الاصطناعي و أساسياته الرياضية بشكل مبسط و بصري
51
students
2 hours
content
Jul 2025
last update
FREE
regular price
What you will learn
Axes, samples, Imaginary numbers
Feature vectors, the classification problem
Training, validation, testing
Probability density function (pdf), Probability mass function (pmf)
Calculus: Integration, Differentiation
Measure of location: mean, trimmed mean, weighted mean
Outliers detection
Measure of variability: Standard deviation and variance
Visualizing your data: frequency tables, histograms
box plots
Parametric and non-parametric fitting
Central limit theorem
Normal distribution
Z-scoring
Log function
KL divergence
Entropy
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6703865
udemy ID
04/07/2025
course created date
16/07/2025
course indexed date
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