Perceptron Learning Algorithm is an algorithm or a way to train the weights of the Perceptron. This was proposed by Minsky and Papert in 1969.
Perceptron is more general computational model than McCulloch Pitts Neuron. It has Numerical Weights for inputs and a mechanism for learning these Weights.
Mcculloch Pitts Neuron can be used to represent Boolean functions which are linearly separable. This is the First Artificial Neural Model in A.I.
Machine Learning Books are not always so cheap. But we as a student want them for FREE as a PDF. So, I have googled these very well-known books on Machine Learning. Here you will find top Machine Learning books for FREE.
Data Science is ruling our hearts and minds and obviously the world. Who says data science has limited applications? To begin with Data Science, you have to know what you can do with Data Science. So, this blog is all about the applications of Data Science.