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Regularization Part 1: Ridge (L2) Regression
Resampling and Regularization | Data Science with Marco
Data Science Pronto! - Deployment
Data Science Pronto! - LSTM Units
18 1 What is Regularization
Regularization in a Neural Network explained
When Should You Use L1/L2 Regularization
Regularization - Data Augmentation and Transfer Learning
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Last Updated: October 15, 2026
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What is overfitting? A 2-minute answer by Rosaria Silipo. Ridge Regression is a neat little way to ensure you don't overfit your training Get the notebook and the dataset: github.com/marcopeix/datasciencewithmarco Theory: 0:00 - 5:17 Code: 5:18 ... Deployment vs. moving into production - what is the difference? A short answer by Casiana Rîmbu. What are LSTM Units? A short answer by Rosaria Silipo. In this video, we explain the concept of Overfitting is one of the main problems we face when building neural networks. Before jumping into trying out fixes for over or ... This lecture, within the fitech.io course CS-CJ3311 Deep Learning with Python, explains two widely used Day 74 Artificial Intelligence - We will explain Ridge, Lasso and a Bayesian interpretation of both. ABOUT ME ⭕ : ...