Lynx Roundup, August 16th 2020

Lynx Roundup, August 16th 2020

Robot development with Jupyter! The Case for Bayesian Deep Learning! Researchers crack Newton’s elusive three-body problem!

Matthew Alhonte
Matthew Alhonte
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow - dmlc/xgboost
Robot development with Jupyter
Jupyter and Voilà are two popular packages in the data science ecosystem. But the Jupyter plugins jupyter-ros and jupyter-amphion make them more interesting than ever for robotics applications. This…
The Case for Bayesian Deep Learning
The Case for Bayesian Deep LearningAndrew Gordon Wilson AbstractBayesian inference is especially compelling for deep neural networks. The keydistinguishing property of a Bayesian approach is margin
Why is Julia so fast? - Quora
Researchers crack Newton’s elusive three-body problem
It’s been nearly 350 years since Sir Isaac Newton outlined the laws of motion, claiming “For every action, there is an equal and opposite reaction.” These laws laid the foundation to understand our solar system and, more broadly, to understand the relationship between a body of mass and the forces t…
Statistical Imputation for Missing Values in Machine Learning
Tech Workers at App Developer Glitch Vote To Form Union and Join CWA Organizing Initiative
In a historic step forward for workers organizing in tech, employees at Glitch, a coding platform tool company, today won recognition for their union.
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.