#statisticalprogramming

2025-03-27

The future of statistical programming recruitment lies in adaptability and expertise beyond SAS. As clinical trials become more complex, the demand for skills in automation, real-world evidence, and AI integration is rising. Companies must update their hiring strategies to ensure compliance and efficiency, focusing on programmers with the right hybrid skills. #StatisticalProgramming #ClinicalTrials #AI #Recruitment warmanobrien.com/resources/blo

2024-05-02

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: psiaims.github.io/CAMIS/ #HealthTech #DataScience #StatisticalProgramming

2023-07-30

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

2021-09-02

#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

tesio.it/2021/09/01/a_decompil

The only 7 samples for the MNIST dataset (over 60.000 images of handwritten digits) that were slightly different after the decompilation of the "artificial neural network". They use slightly different shades of grey in some pixels, due to implementation details of the attached proof of concept (floating-point arithmetic rounding).

All other 59993 samples were decompiled perfectly.

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