3D Printer Innovation – To create a fast 3D printer I wonder if its possible to take advantage of high speeds. Since its possible to create ?all objects with a machine learning model(). Maybe a particle accelerator could work so I thought. The idea is that particles melt in a ?magnetic field in a ?Fusion Like Tokamak.
So the idea is to shoot particles in high velocities which then melts on the object you create. The object is heated that is. // Per Lindholm 2018-26-11
So I thought that I might stall the update of a model() at certain difficult samples and update it for a later time?
Machine Learning Physics – Rather Than A Differential Equation. Could The Magnetic Field From A Magnet Be Built Up By An Adapted ?3D Fourier Series model(). Since Every Coefficient Would Be Known From The Objects Detail And Not Subjected To Calculation Errors.
I mean. Does not a differential equation depend on ?existing differences. That the differences are not vanishingly small. Compressed MP3 audio files picks up on the small differences. I think they use fourier transforms for coeff. storage.
Its a smart idea since you as a novice investor can pick some popular rural business. That are likely to succeed. This way its pretty much the same as buying tech stuff on price comparison sites.
Makes me wonder if there exist different energies. You split the energy packets (time) into 100 groups using unsupervised learning. Then charge each battery (model) with the right packet.
This would mean that there is a use for a kind of brute force method where you do a online training with a ?smaller X_train_smaller and checks the best results for the target sample. Since this takes a long time. The brute model can be simulated.
Machine Learning Math – Integer Equations Can Have Peacock Feather Like Patters. This Makes Me Wonder If Numbers Can Have Colors. So My Theory Is That If A Problem Could Be More Efficiently Solved By Letting Numbers Have Colors. Then Its Proved. Solutions Have Color Attributes.