Notes on Machine Learning, AI, Big Data etc etc

Introduction Practically intractable inference tasks emerges in several problems. For this reason the computation of the marginal or poste...

The Maximum Likelihood Estimation (MLE) is a method that finds the set of parameters $\hat{\theta}$ of a parametric model  $p_M({\bf x; \th...

An useful link for understanding the Back Propagation step by step Link

An interesting introduction to the most used Probability Distributions. LINK

Anaconda Environments Anaconda  is an open data science platform powered by Python. The user can create separate environments. The follo...

This post shall contain some interesting videos on Deep Learning. The list shall be continuously updated [Last Update 20 Aug. 2017]. Deep...

Based on the Course   CS120x Distributed Machine Learning with Apache Spark . Basically we can summarize the map/reduce paradigm as foll...

A complete course at Stanford has devoted to Convolutional Neural Network. The Course Notes  (by Andrej Karpathy) are well written and the...

TensorFlow is an Open Source Software Library for Machine Learning and AI tasks. In these months is becoming a widely used tool in the A...