Lynx Roundup, February 17th 2020

Lynx Roundup, February 17th 2020

Diet and mental health! DARPA propelling parallelism! Stock prediction using recurrent neural networks!

Matthew Alhonte
Matthew Alhonte

How what you eat directly influences your mental health
The microbes in our guts have a surprising influence on our brains. Now we’re understanding why – and how to use them to combat anxiety, stress and depression
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis: 9781107154889: Computer Science Books @ Amazon.com
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis: 9781107154889: Computer Science Books @ Amazon.com
DARPA Looks to Propel Parallelism
New AI neural network approach detects heart failure from a single heartbeat with 100% accuracy
Researchers have developed a neural network approach that can accurately identify congestive heart failure with 100 percent accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat, a new study reports.
This Map Shows If Your Town’s Police Are Tapped Into Ring’s Surveillance Network
Ring, the smart doorbell home security system Amazon bought for over $1 billion last year, is involved in some fairly unnerving arrangements with local law enforcement agencies. Wouldn’t you like to know if the cops in your town are among them?
Stock prediction using recurrent neural networks
This type of post has been written quite a few times, yet many leave me unsatisfied. Recently, I read Using the latest advancements in deep learning to predict stock price movements, which, I think…
From Econometrics to Machine Learning
As a Data scientist with a master’s degree in econometrics, I took some time to understand the subtleties that make machine learning a different discipline from econometrics. I would like to talk to…
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.