machine-learning

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Introduction
Material
- Link
Probabilità e statistica
Variance and standard deviation of a discrete random variable
Continuous random variables
Impact of Trasforming ( scaling and shifting ) random variables
Chapter Combining random variables
Chapter Binomial Variables
Chapter Geometric Random Variables
More on expected value
Chapter Sampling distributions
Server Monitoring // Prometheus and Grafana Tutorial
- Intro
Google Colaboratory per python
Fondamenti di Deep Learning
Esercitazioni
- Prima Esercitazione
Fondamenti di Linux
Books
- Hands-on Machine Learning With Scikit-learn, Keras, and Tensorflow: Concepts, Tools, and Techniques
Git For Professionals
- Introduction
Ansible
- Introduzione
Virtualization
- Virtualizzazione
Group 1
- Differenza Ansible Puppet
- Puppet
Group 2
- Docker
- Esercitazione
Git hub actions
- Page 1
Materiale Corso IA
- Good Materials

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Fondamenti di Deep Learning
Neuroni e reti Neurali
Nozioni di base sul Deep Learning

Lab backpropagation

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DL0101EN-2-1-Backpropagation-py-v1.jupyterlite.ipynb

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Last updated 16 days ago