Writing

RSS

Thoughts on machine learning, complex systems, and the intersection of technology with society.

Mapa do exame e da stack de ML

Certificação Google Cloud PMLE: mapa do exame e da stack de ML

Parte 1 de uma série em cinco artigos sobre o currículo atual da Professional Machine Learning Engineer da Google Cloud.

→
Dados, features e pipelines

Certificação Google Cloud PMLE: dados, features e pipelines

Parte 2 da série PMLE: qualidade de dados, BigQuery ML, Feature Store, skew, drift e pipelines de preparação.

→
Do protótipo ao modelo robusto

Certificação Google Cloud PMLE: treino, avaliação e operacionalização

Parte 3 da série PMLE: notebooks, treino, tuning, avaliação, experimentação e Model Registry.

→
Serving, escala e MLOps

Certificação Google Cloud PMLE: serving, escala e MLOps

Parte 4 da série PMLE: inferência batch e online, endpoints, pipelines, retraining e monitorização.

→
Generative AI, agentes e Responsible AI

Certificação Google Cloud PMLE: Generative AI, agentes e Responsible AI

Parte 5 da série PMLE: Model Garden, Agent Builder, avaliação generativa, fairness, privacy e safety.

→
Notas acerca de Gestão de Projectos

Notas acerca de Gestão de Projectos

Os post-mortems leem-se todos da mesma maneira. Um guia de sobrevivencia para gestores de projecto e os que tem de lidar com eles.

→
The Hidden Trade-offs of AI Development

The Hidden Trade-offs of AI Development

Everything nobody told you before putting an LLM in production. A deep dive into the hidden trade-offs of AI development.

→
The Perfect Project Manual

The Perfect Project Manual (in an Imperfect Galaxy)

The ten deadly sins of project management and their respective penances. A survival guide for dealing with clients and expectations.

→
A Short History of Artificial Neural Networks

A Short History of Artificial Neural Networks

From 17th-century calculus to the deep learning revolution: tracing the key milestones in the development of artificial neural networks.

→
Transformer-Based Emotion Recognition

Transformer-Based Emotion Recognition from Song Lyrics

Fine-tuning encoder transformers for music emotion recognition using Russell's Circumplex Model.

→
The Eloquent Void

The Eloquent Void

How large language models work: token prediction, pseudo-memory, and the invisible labour behind AI systems.

→
Dark Boxes, Dark Patterns

Dark Boxes, Dark Patterns

The algorithm is not a tool; it is an environment. We do not use it; we inhabit it.

→
Complex Systems

Emergence from Rules

Three interactive simulations. Simple rules. Complex patterns.

→
2D Cellular Automaton

2D Cellular Automaton Explorer

Interactive visualization of complex patterns emerging from simple local rules.

→
Computer Says No

Computer Says No

Why most AI projects fail before production: from garbage data to organizational blindspots.

→
Data Leakage

Data Leakage: The Silent Saboteur

What data leakage is, why it silently inflates metrics, and how to prevent it.

→
Feature Selection

Feature Selection: A Simplified Guide

Why feature selection matters, what to remove, and how to improve your model.

→
Scientific Writing

Resources for Scientific Writing

A curated list of resources to enhance your scientific writing and research workflow.

→
Presentations

Tips for a Great Presentation

Essential tips for crafting a compelling presentation for your thesis defense.

→