#Covid19 idea treatment – If there exist virus generators they could be located in the nose. To stop additional waves of new viruses. So Mix Salt and Water and dip an ear tops in the saltwater. Poke around in the nose with the top to kill additional strand generators. // Per

# All posts by Per Lindholm

# Covid19 – Could corona virus be a Finite Machine Virus? like a flu cluster blob. Looks like an amoeba.

Covid19 – Could corona virus be a Finite Machine Virus? like a flu cluster blob. Looks like an amoeba.

# Idea – Put a ball with a hole on a wooden cylinder. Try to move it fast along the cylinder and it will get stuck or vibrate. So light traveling at straight lines can’t have any own will over its center of gravity. // My dad Christer Lindholm

# Machine Learning – Nothing is perfect – If perfect is defined as something that does not any aftertouch then wait until you meet plants. So a model function might need information for consumption under the period of its use. Split the trainingset into better groups by yt = KMeans

Machine Learning – Nothing is perfect – If perfect is defined as something that does not any aftertouch then wait until you meet plants. So a model function might need information for consumption under the period of its use. Split the trainingset X into better groups by yt(i) = KMeans

# Peace water Idea – #Fantasy #Farming – Imagine a fantasy world where fruits and veggies live in happiness (insects). Tree applemelons => !!!Tree-melonrice rice inside water melons!!! // Per

# #Machine #Learning – #Quantum functions – Take an equation like x²+y²=z² => q(x,y,z)= x² + y² – z². Insert x,y,z = rand(3,100…00) to calculate all solution via histogram transfer classifcation. Probability at its fastest. // SUper Wow

# Machine Learning Math – An equation could give an answer that is true and false. Ex. 3 and 3.0 are integer and float. They are the same number sort of but are of different classes. // Per

Machine Learning Math – An equation could give an answer that is true and false. Ex. 3 and 3.0 are integer and float. They are the same number sort of but are of different classes. // Per

# Super Derivatives – Along came a derivative an infitesimal incriment that amplified corrected the guess.

Super Derivatives – Along came a derivative an infitesimal incriment that amplified corrected the guess.

# Win against Covid – MIT Cough like app for schools, restaurants and work. Start the app on the phone, cough, get a result with ?98.5% accuracy. Its not 100% but enough to stop a pandemic. #svpol #COVID19 #UnitedStates

Win against Covid – MIT Cough like app for schools, restaurants and work. Start the app on the phone, cough, get a result with ?98.5% accuracy. Its not 100% but enough to stop a pandemic. #svpol#COVID19#UnitedStates

# Cyber #Security – Machine Learning – Based on #histogram of random looking data to function output could you inspect the output from each layer and check the functions used. Do a md5 sum of the functions for indication of ?quantum manipulation in your machine learning model //Per

Cyber #Security – Machine Learning – Based on #histogram of random looking data to function output could you inspect the output from each layer and check the functions used. Do a md5 sum of the functions for indication of ?quantum manipulation in your machine learning model //Per

# Python Beginner – To run a filename.py file from the terminal after starting python. Write this command>>>exec(open(“filename.py”).read()) to get to the variables for easy debug. Please change google to include this exec line.

# Machine Learning Math – Perfect sin(x) for large x? Simple use np.argmin(loss) where loss = (y-yt)**2 and yt = mean value of 100+ sin evals from 0..2pi // Per

Machine Learning Math – Perfect sin(x) for large x? Simple use np.argmin(loss) where loss = (y-yt)**2 and yt = mean value of 100+ sin evals from 0..2pi // Per

# Machine Learning Idea – Convert data points yi from a histogram plt.hist(yi,100) to a function y(x). Wow

Machine Learning Idea – Convert data points yi from a histogram plt.hist(yi,100) to a function y(x). Wow

# Machine Learning Math – guess – Functions are objects that has the same light spectrum. Guess. Similar function similar histogram from np.random.randn(10000)? Solve equations by looking at the histogram from random input? Classify each hist cluster after a function. sin(x),x**2,x

Machine Learning Math – guess – Functions are objects that has the same light spectrum. Guess. Similar function similar histogram from np.random.randn(10000)? Solve equations by looking at the histogram from random input? Classify each hist cluster after a function. sin(x),x**2,x

# Biggest Idea In The Universe – Machine Learning New Math – Deep Layer Linear Algebra. Solve problems in reduced coeffient space. Since quadratic matrices are too large. Represent the problem in two or three layers with reduction of parameters. // WOW Per

Machine Learning New Math – Deep Layer Linear Algebra. Solve problems in reduced coeffient space. Since quadratic matrices are too large. Represent the problem in two or three layers with reduction of parameters. // WOW Per

Machine Learning Complex Numbers guess – How many layers does it take to represent complex numbers? layer1 x = sqrt(-1) to y representation in layer2. One layer number can represent complex if its quadratic. Then two layers to reduce the coeffients greatly. x = model(X) and x->X.

Machine Learning – 3 layer Fourier Series Coeffients. Since you can iterate 1 sample with a perceptron of 3 layers to get the x = X. A fourier version with 3 layers can be developed. Not just one layer of complex coeffients. Could complex coffient vector be 2 non linear layers?

# #COVID19 – Test gargle with cold carbonated mineral water and a lemon. Just to know if the virus needs to be adapted for either warm or cold water. You can try both then. Prepare when your outside. A bottle of carbonated water with a small piece of lemon inside. Ready for virus.

#COVID19 – Test gargle with cold carbonated mineral water and a lemon. Just to know if the virus needs to be adapted for either warm or cold water. You can try both then. Prepare when your outside. A bottle of carbonated water with a small piece of lemon inside. Ready for virus.

images from wikipedia

# #Covid19 interesting home treatment – Gargle with small pieces of bana inside peel scrapings. The idea is that the inside of the banana peel protects the banana. Anti virus? Gargle the cold water with only small pieces of inside banana scrapings. Could inspire covid cure?

#Covid19 interesting home treatment – Gargle with small pieces of bana inside peel scrapings. The idea is that the inside of the banana peel protects the banana. Anti virus? Gargle the cold water with only small pieces of inside banana scrapings. Could inspire covid cure?

# Lorenz Chaos Equation – I got more chaos from Lorenz differential equation. Setting an inital value for rho = 28 then 0 and oscillating the system to 0 and giving life to the derivate at sin(t)<0.9 gives // Per

Lorenz Chaos Equation – I got more chaos from Lorenz differential equation. Setting an inital value for rho = 28 then 0 and oscillating the system to 0 and giving life to the derivate at sin(t)<0.9 gives // Per

# Machine Learning Physics – Light changes its state to avoid gravity as much as possible. It’s a machine learning adapted solution. // Per

Machine Learning Physics – Light changes its state to avoid gravity as much as possible. It’s a machine learning adapted solution. // Per

# Its a super star not a black hole. Stars calculate the differential equations for objects orbiting them. Black holes calculate the chaotic differential eqautions. Too much random and you need a black hole. KMeans() for the number of objects in its responsiblity // Per

Its a super star not a black hole. Stars calculate the differential equations for objects orbiting them. Black holes calculate the chaotic differential eqautions. Too much random and you need a black hole. KMeans() for the number of objects in its responsiblity // Per

# Machine Learning Physics – Some frequency transformation and back gives waves as the error. Could waves mathematical residuals? // Per

Machine Learning Physics – Some frequency transformation and back gives waves as the error. Could waves mathematical residuals? // Per

# Machine Learning Math – Data efficiency – Is there such a thing as data efficiency? Extract the right data for efficient calculations. Better accuracy. Like getting the intercept points in a fourier sinwave seperation of the data. // Per

Machine Learning Math – Data efficiency – Is there such a thing as data efficiency? Extract the right data for efficient calculations. Better accuracy. Like getting the intercept points in a fourier sinwave seperation of the data. // Per

# Machine Learning Functions – What if becoming a Billionaire is ?following machine learning function. sudo pip install billionaire

Machine Learning Functions – What if becoming a Billionaire is ?following machine learning function. sudo pip install billionaire

# Machine Learning hack – Hack a convolution2D layer function. Insert any image into the channel index data. Watch the convolution layer coefficents adapt. Lindholm_Convolution2D // Per

Machine Learning hack – Hack a convolution2D layer function. Insert any image into the channel index data. Watch the convolution layer coefficents adapt. Lindholm_Convolution2D // Per

# Nigeria Peace – Could this unrest be solved with Money + Diplomacy and a hefty stimilus package. Let get us by this time around. // Per #Nigeria

Nigeria Peace – Could this unrest be solved with Money + Diplomacy and a hefty stimilus package. Let get us by this time around. // Per #Nigeria