Per Lindholm(@Perrabyte) 's Twitter Profile Photo

- New MachineLearning - Create a perceptron distribution function. Train it on sin() and the X sample. Then feed it a static set of random numbers. Out comes a histogram of small 28x28 sample looking like 10000 sample points. Describing in detail the samples.

#Superintelligence - New MachineLearning - Create a perceptron distribution function. Train it on sin() and the X sample. Then feed it a static set of random numbers. Out comes a histogram of small 28x28 sample looking like 10000 sample points. Describing in detail the samples.
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Debdas Dhabal(@dhabaldebdas) 's Twitter Profile Photo

Thrilled to share our recent PNASNews publication. Liquid–liquid transition and ice crystallization in a machine-learned coarse-grained water model | PNAS
Utah Chemistry Rajat Kumar Department of Chemistry IITG pnas.org/doi/10.1073/pn…

Thrilled to share our recent @PNASNews publication.  Liquid–liquid transition and ice crystallization in a machine-learned coarse-grained water model | PNAS #compchem #Water #MachineLearning
@UtahChemistry @RajatK161 @IITGChem  pnas.org/doi/10.1073/pn…
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PYOFLIFE.COM(@Parajulisaroj16) 's Twitter Profile Photo

Traditional statistical methods have been greatly enhanced by advancements in computing power and the availability of large datasets. pyoflife.com/modern-statist…
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Traditional statistical methods have been greatly enhanced by advancements in computing power and the availability of large datasets. pyoflife.com/modern-statist…
#DataScience #rstats #DataScientist #dataanalysts #r #programming #statistics #dataviz #MachineLearning
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