So, What is a Bitcoin wallet ?

A Bitcoin wallet is a service that holds your Bitcoin for you. Unlike bands, Bitcoin wallet firms don't generally invest the money you deposit with them. But there's a catch -- Bitcoin wallets don't have the FDIC (Federal Deposit Insurance Corp.) backing that insures American's bank deposits up to $100,000.

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Where do Bitcoin come from?

New Bitcoins are created in a process called "mining," which involves Bitcoin users attempting to figure out a complex mathematical solution related to the cuttent number of Bitcoins. Like finding a missing piece of a puzzle. Whomever finds the puzzle piece wins a certain number of Bitcoins, and the process starts all over again.
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How To Implement Naive Bayes From Scratch in Python ?

#How To Implement Naive Bayes From Scratch in Python #http://machinelearningmastery.com/naive-bayes-classifier-scratch-python/ #Dataset #https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data import csv import math import random #Handle data def loadCsv(filename): lines = csv.reader(open(filename, "r")) dataset = list(lines) for i in range(len(dataset)): dataset[i] = [float(x) for x in dataset[i]] return dataset #Test handling data """  filename = 'pima-indians-diabetes.data.csv' SomeDataset = loadCsv(filename) print("Loaded data file {0:s} with {1:5d} rows".format(filename,len(SomeDataset))) """ #Split dataset with ratio def splitDataset(dataset, splitRatio): trainSize = int(len(dataset) * splitRatio) trainSet = [] copy = list(dataset) while len(trainSet) < trainSize: index = random.randrange(len(cop...
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How To Create A Simple Hough Transform Matrix

A = [0 0 0 0 15; 0 0 0 15 0; 0 0 15 0 0; 0 15 0 0 0; 15 0 0 0 0]; [m,n] = size(A); rhoValues = zeros(m,n); thetaValues = zeros(m,n); diagonalDist = floor(sqrt(m^2 + n^2)); thetaMax = 90; rhoRange = -diagonalDist:diagonalDist; thetaRange = -thetaMax:thetaMax; %Matrix Hough houghMatrix = zeros(length(rhoRange), length(thetaRange)); for i = 1:m     for j = 1:n         if (A(i,j) ~= 0)             x = m - 1;             y = n - 1;             for theta = thetaRange                 rhoValues = round((x*cosd(theta)) + (y*sind(theta)));                 rhoIndex = rhoValues + diagonalDist + 1;                 thetaIndex = theta + thetaMax + 1;                 houghMatrix(rh...
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