Lynx Roundup, November 26th 2019

Lynx Roundup, November 26th 2019

Bayes! Neuro-anatomy! Tensorflow optimization showdown!

Matthew Alhonte
Matthew Alhonte
Rank the Features, now rank again
Here I discuss methods to rank features in 40 ways and a difficult case with an unstable model, caused by the data having many more variables than samples. As a bonus, you will know a bit of a field…
Why you should do Feature Engineering first, Hyperparameter Tuning second as a Data Scientist
In fact, the realization that feature engineering is more important than hyperparameter tuning came to me as a lesson — an awakening and vital lesson — that drastically changed how I approached…
A different take on Bayes Rule
Most people reading this article have seen demonstrations of each probability distribution in Bayes Rule. Most people reading this have been formally introduced to the terms “posterior”, “prior”…
TensorFlow Optimization Showdown: ActiveState vs. Anaconda - KDnuggets
In this TensorFlow tutorial, you’ll learn the impact of optimizing both operators and entire graphs, how to efficiently organize data in training and testing datasets to minimize data shuffling, and how to identify a well-optimized model using Anaconda and ActivePython.
How the brain finds order amidst chaos
Summary: Amidst noise and chaos, cortical neurons work in a team to communicate and allow the brain to find order.Source: EPFLNeurons communicate with each other by sending out rapid pulses of


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.