Christian Perone

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machine learning deep learning python bayesian bayesian inference pytorch convolutional neural networks porto alegre first-order second-order optimization pymc3 seroprevalence covid-19 pydata variational inference uncertainty jit internals natural language processing language modelling word2vec word movers distance word embeddings nlp recommendation systems recsys recommender systems apache spark big data spark pyspark cnn meetup image processing convnets image classification neural networks regressão linear scikit-learn support vector machines introdução tutorial faqs help and tutorials c++11 cpp c++ c++0x

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About

Christian Perone

Presentations

C++0x :: Introduction to some amazing features

Python - Introdução Básica

Machine Learning com Python e Scikit-learn

Deep Learning - Convolutional Neural Networks

Deep Learning - Convolutional Neural Networks - Architectural Zoo

Apache Spark - Intro to Large-scale recommendations with Apache Spark and Python

Word Embeddings - Introduction

PyTorch under the hood

Uncertainty Estimation in Deep Learning

Bayesian modelling for COVID-19 seroprevalence studies

Gradient-based optimization for Deep Learning: a short introduction

PyTorch 2 Internals

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Philosophy of Technology

Deep Neural Networks  that talk (Back)… with style

Is that a Time Machine? Some Design Patterns for Real World Machine Learning Systems

Data visualization 4 dummies

An introduction to Machine Learning (and a little bit of Deep Learning)