These are public posts tagged with #StatisticalProgramming. You can interact with them if you have an account anywhere in the fediverse.
I'm a proud member of the #Phuse working group #CAMIS, which aims to tackle statistical analysis discrepancies across programming languages like #Sas, #R, and #Python. If you're considering a switch from Sas to open-source alternatives, check out our CAMIS repository for insights and solutions: https://psiaims.github.io/CAMIS/ #HealthTech #DataScience #StatisticalProgramming
I wonder if it could be cool to describe it not as “machine learning” but as “stochastic programming” or “statistical programming”
#TagZone: #MachineLearning #AI #StochasticProgramming #StatisticalProgramming
#AI demystified: a decompiler
To prove that any "artificial neural network" is just a statistically programmed (virtual) machine whose model software is a derivative work of the source dataset used during its "training", we provide a small suite of tools to assemble and program such machines and a decompiler that reconstruct the source dataset from the cryptic matrices that constitute the software executed by them.
Finally we test the suite on the classic #MNIST dataset and compare the decompiled dataset with the original one.
#ArtificialIntelligence
#MachineLearning
#ArtificialNeuralNetworks
#microsoft
#GitHubCopilot
#Python
#StatisticalProgramming
#VectorMappingMachine
http://www.tesio.it/2021/09/01/a_decompiler_for_artificial_neural_networks.html