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

#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#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

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.

Python Beginner – To run a filename.py 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 – 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