Blog & Insights Technical deep-dives, engineering notes, and lessons learned building scalable AI and backend architectures.
Read The Anatomy of Machine Learning: Data, Models, Loss, and Optimization Artificial Intelligence featured The Anatomy of Machine Learning: Data, Models, Loss, and Optimization A first-principles exploration of how machines learn from data, covering function approximation, model capacity, generalization, and the mechanics of optimization.
Read Descente de Gradient : intuition, choix du pas et cas concrets en R Descente de Gradient : intuition, choix du pas et cas concrets en R Une introduction limpide à la descente de gradient : intuition, choix du pas (exact, Armijo/Wolfe, dichotomie) et cas concrets en R.
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#Deep Learning #Generalization #Machine Learning #Math #Mathematics #Neural Networks #Optimization #R
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