AI Career & Learning
Role Fit Audit, Career OS, and learning strategies for the AI era.
Guide & Approfondimenti
ML vs DL vs GenAI: Building a Strong AI Career Foundation
Don't build your AI career on sand. Understand the core differences between Machine Learning, Deep Learning, and Generative AI to master essential fundamentals.
Boost Your Career: Master Learning Velocity for 2025-2030 Skills
Unlock success in 2025-2030 by mastering Learning Velocity. Discover core skills and strategies to future-proof your career and team amidst rapid professional change.
How to Optimally Sample Imbalanced Data Practical Guide
Learn how to handle imbalanced data in machine learning with a step-by-step guide. Discover optimal sampling techniques, pilot models, and unbiased likelihood correction for better model performance
Your Data Science Learning Path: A Guide to Becoming a Data Scientist
Discover the path to becoming a data scientist. Learn what data scientists do, prerequisites, essential skills, and practical project ideas to kickstart your data science career
Machine Learning vs Deep Learning in Classification
Discover key insights on Machine Learning vs Deep Learning: definitions, applications, strengths, and how to choose between them for AI projects.
From zero to hero: a brief study plan for mastering ML and DL from scratch!
A brief study plan for mastering deep Learning and machine Learning from scratch.
Increase your productivity with your own PyTorch template
Enhance productivity with a custom PyTorch deep learning pipeline. Streamline model experimentation, secure reproducibility, and tailor to your needs.
Why Software Engineering is important in Data Science
Software engineering is an important aspect of the data science field that helps to ensure the development of high-quality, scalable, and maintainable systems
30 Days of Machine Learning Engineering
30 Days of Machine Learning Engineering
Iterative Pruning Methods in Julia
A brief survey about compression techniques based on pruning
Five reasons why my Machine Learning models failed
Five reasons why my Machine Learning models failed and how to avoid them.
Cos’è l’Intelligenza Artificiale?
Continui a sentire parlare di Intelligenza Artificiale ma nessuno ti ha ancora spiegato bene che cos’è? Per questo ci siamo noi!