Lynx Roundup, March 12th 2020

Lynx Roundup, March 12th 2020

Overview of Matrix Factorization Techniques using Python! MLE, MAP and Bayesian Inference! All-in-one web-based IDE specialized for machine learning!

Matthew Alhonte
Matthew Alhonte
Is rotation forest the best classifier for problems with continuous features?
In short, our experiments suggest that yes, on average, rotation forest isbetter than the most common alternatives when all the attributes arereal-valued. Rotation forest is a tree based ensemble that performs transformson subsets of attributes prior to constructing each tree. We present anempir…
MLE, MAP and Bayesian Inference
MLE, MAP and Bayesian inference are methods to deduce properties of a probability distribution behind observed data. That being said, there’s a big difference between MLE/MAP and Bayesian inference…
ml-tooling/ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science. - ml-tooling/ml-workspace
Overview of Matrix Factorisation Techniques using Python
Low-rank approximations of data matrices have become an important tool in Machine Learning in the field of bio-informatics, computer vision, text processing, recommender systems, and others. They…
Mobile phone covered with synthetic human skin
PavelDoGreat/WebGL-Fluid-Simulation
Play with fluids in your browser (works even on mobile) - PavelDoGreat/WebGL-Fluid-Simulation
[D] How do we democratize the rewards of machine learning? from MachineLearning
Roundup

Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.