Lynx Roundup, January 27th 2020

Lynx Roundup, January 27th 2020

Box regression in Tensorflow! Matrices in Python! MLE, MAP, and Bayesian Interference!

Matthew Alhonte
Matthew Alhonte

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…
🛠 All-in-one web-based IDE specialized for machine learning and data science. - ml-tooling/ml-workspace
[D] How do we democratize the rewards of machine learning? from MachineLearning
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
Play with fluids in your browser (works even on mobile) - PavelDoGreat/WebGL-Fluid-Simulation
Getting Started With Bounding Box Regression In TensorFlow
Wanna get started with Object Detection? Any ML learner could like to see nice bounding boxes around an object in an image ( at least for me! ). We’ll now learn a basic concept in Object Detection…

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.