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Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

Home Page: http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage

License: Apache License 2.0

MATLAB 97.02% C 2.69% M 0.03% Objective-C 0.04% Jupyter Notebook 0.22%
bayesian-methods book machine-learning

barberbook's Introduction

@tallamjr

About Me

My name is Tarek

I am a final year PhD student at the Centre for Data Intensive Science at University College London (UCL). My research focus is on the development of efficient Deep Learning algorithms for real-time classification of Astronomical transient events.

Besides my doctoral research, I enjoy exploring how latest techniques in statistical signal processing and probabilistic machine learning can be used for Learned Image Reconstruction and Learned Image Compression ๐Ÿ—œ๏ธ in
Embedded Systems for Embedded Machine Learning (#TinyML) ๐Ÿ“ฑ

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