Francesco Sannicola
Machine Learning | Software Engineering
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Updated on Dec 09, 2025
Understanding Spatial Indexing Trees
An in-depth exploration of KD-Trees, Ball Trees, and R-Trees (STRtree), including construction algorithms, query execution logic, and comparative benchmarks.
Updated on Aug 14, 2025
Machine Learning Essentials: Linear vs. Logistic Regression
A practical guide to linear and logistic regression, with step‑by‑step examples, covering core math, assumptions, evaluation, and extensions.
Updated on Dec 17, 2024
Understanding Random Number Generation
Exploring Random Number Generators (RNG), Linear Congruential Generators (LCG), and Permuted Congruential Generator (PCG) focusing on their mechanisms, applications, and differences in generating random sequences for computing.
Updated on Mar 9, 2025
GenAI and LLM Questions with In-Depth Answers
From prompt engineering to advanced concepts, this guide demystifies large language models (LLMs) while preparing you for technical interviews with detailed, practical examples.
Understanding Spatial Indexing Trees
An in-depth exploration of KD-Trees, Ball Trees, and R-Trees
(STRtree), including construction algorithms, query execution logic,
and comparative benchmarks.
Machine Learning Essentials: Linear vs. Logistic
Regression
A practical guide to linear and logistic regression, with
step‑by‑step examples, covering core math, assumptions, evaluation,
and extensions.
Understanding Random Number Generation
Exploring Random Number Generators (RNG), Linear Congruential
Generators (LCG), and Permuted Congruential Generator (PCG) focusing
on their mechanisms, applications, and differences in generating
random sequences for computing.
GenAI and LLM Questions with In-Depth Answers
From prompt engineering to advanced concepts, this guide demystifies
large language models (LLMs) while preparing you for technical
interviews with detailed, practical examples.