In this tutorial we will go over creating statistical models in R. Machine learning is outside of the scope of this tutorial. We'll use the "mtcars" dataset to see an example of a linear regression ...
For example, let's say we want to know what a cat is. We can learn by heart some pictures of cats and then classify as cat animals that are similar to the pictures. We then need a way to "measure" ...
Editors Note: The first in a three-part introduction to Linear Feedback Shift Registers (LFSRs), this article is abstracted from the book Bebop to the Boolean Boogie (An Unconventional Guide to ...
In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST ...
Abstract: A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researchers have greatly advanced algorithms ...
ABSTRACT: Real time prosody modification involves changing the prosody parameters such as pitch, duration and intensity of speech in real time without affecting the intelligibility and naturalness. In ...
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