eliacellini / introduction_to_ml

A short machine learning course held by the Machine Learning Journal Club

introduction_to_ML

A short machine learning course held by the Machine Learning Journal Club
edited by Luca Bottero and Elia Cellini

Playlist video lezioni

• 17/01/23-Lezione 1: Introduzione
• 24/01/23-Lezione 2: Regressione Lineare Video
• 1/02/23-Lezione 3: Regressione Logistica Video
• 8/02/23-Lezione 4: Explore Classifier with scikit-learn Video
• 8/03/23-Lezione 5: Reti Neurali fully connected e ottimizzatori (SGD, RMSprop, Adam..) Video
• 15/03/23-Lezione 6: Reti Neurali Convoluzionali e Deep Residual NNs Video
• 22/03/23-Lezione 7: Autoencoder e GANs Video
• 3/4/23-Lezione 8: Continual Learning Github Video

Referenze principali:

• Learning from Data: A Short Course, Abu-Mostafa and Magdon-Ismail
• A high-bias, low-variance introduction to Machine Learning for physicists, Pankaj Mehta et al.
• Deep Learning, Ian Goodfellow, Yoshua Bengio and Aaron Courville
• Pattern Recognition and Machine Learning, Christopher Bishop
• Approaching (Almost) Any Machine Learning Problem, Abhishek Thakur

Serie di tutorial sul Deep Learning in PyTorch e Jax: Tutorial

Rapido tutorial su Colab e python:

Run in Google Colab

View source on GitHub