Chris here. Simply put, I speak Maths and do research in Machine learning. Check out my curated reading list for ML here. I highly recommend it for anyone serious about deepening their understanding of ML.
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University of Johannesburg
- Johannesburg
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21:51
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Machine-Learning-Knowledge-Vault
Machine-Learning-Knowledge-Vault PublicThis repo contains a list of core ML reference and learning materials
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AaltoDictionaryofML.github.io
AaltoDictionaryofML.github.io PublicForked from AaltoDictionaryofML/AaltoDictionaryofML.github.io
Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.
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bayesian-machine-learning
bayesian-machine-learning PublicForked from krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
Jupyter Notebook
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Bayesian-Neural-Networks
Bayesian-Neural-Networks PublicForked from JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Jupyter Notebook
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Kalman-and-Bayesian-Filters-in-Python
Kalman-and-Bayesian-Filters-in-Python PublicForked from rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Jupyter Notebook
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