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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Aktuellste Beliebteste SlideShares

Christian Perone

PyTorch 2 Internals

Gradient-based optimization for Deep Learning: a short introduction

Bayesian modelling for COVID-19 seroprevalence studies

Uncertainty Estimation in Deep Learning

PyTorch under the hood

Word Embeddings - Introduction

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

Deep Learning - Convolutional Neural Networks - Architectural Zoo

Deep Learning - Convolutional Neural Networks

Machine Learning com Python e Scikit-learn

Python - Introdução Básica

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