Cos’è un vector database? (Guida 2026)
A plain-English guide to vector databases in 2026: what they are, how embeddings and similarity search actually work, the six options worth knowing, and when a plain Postgres extension is all you really need.
Apprendimento automatico
Machine learning explained for practitioners: training methods, quantisation, fine-tuning and the concepts you need before choosing a model or sizing hardware.
15 migliori dataset gratuiti per progetti di apprendimento automatico (2026)
The best free datasets and sources for machine learning practice in 2026 — organized by data type, with advice on picking the right one for your project.
Overfitting nel machine learning: cos’è e come prevenirlo
Overfitting is the most common reason a machine learning model fails in the real world. This guide explains what it is, how to spot it, and how to prevent it.
Deep learning vs machine learning: le principali differenze (2026)
Deep learning and machine learning are related but not the same. This guide explains the real differences — in data, hardware, and use cases — and when to choose each.
Reti neurali spiegate a chi non è ingegnere (Guida 2026)
What is a neural network, really? A clear, no-math explanation of how neural networks work — neurons, layers, training — for anyone without an engineering background.
Apprendimento supervisionato vs non supervisionato vs per rinforzo: spiegazione dettagliata
Machine learning has three core paradigms. This guide explains supervised, unsupervised, and reinforcement learning in plain language — with examples and when to use each.
I 10 principali algoritmi di apprendimento automatico che ogni principiante dovrebbe conoscere
The 10 machine learning algorithms that matter most — explained in plain language, with what each one does and when to reach for it. The essential beginner’s map.
Che cos’è l’apprendimento automatico? Una guida chiara per principianti (2026)
A clear, jargon-free introduction to machine learning — what it actually is, how it works, the main types, and where you already use it every day.