Learn really interesting Cyber Skills that will get you comfortable around, Linux (use-case is KALI), Windows, macOS, Android, Browsers, Servers, Coding, etc. By a #CyberSec Expert && #DigitalPrivacy Activist!
Gamma Statistical Distribution General Characteristics The Gamma distribution is a two-parameter family of continuous probability distributions. Some statistical distributions are special cases of Gamma distribution including; Erlang distribution, Exponential distribution and Chi-Squared distribution. Specific Characteristics Key Measures:
Continue Reading...Beta Statistical Distribution General Characteristics The Beta distribution curve can take a variety of shapes; asymmetrical shapes, symmetrical half circle and/or inverted or cup-up half circle. Specific Characteristics Key Measures: Shape1 (S1), Shape2 (S2) Range of values:
Continue Reading...Normal Statistical Distribution General Characteristics It is Bell-shaped or forms a Mound curve. The curve is Symmetrical with respect to the Mean. The total area under the curve is equal to 1. Specific Characteristics Key Measures: Mean,
Continue Reading...Competitive Learning Rule |
Also referred to as Winner-takes all learning rule, it is an unsupervised algorithm learning rule. This rule uses the competitive network …
OutStar Learning Rule | Artificial Neural Networks Foundation : Also referred to as Grossberg learning rule, it is a supervised algorithm learning rule, introduced by Grossberg. Operation : In this rule, all neurons are arranged in organized layers.
Continue Reading...Delta Learning Rule | Artificial Neural Networks Foundation : Also referred to as Widrow-Hoff learning rule, it is a supervised algorithm learning rule and a special case of backpropagation, introduced by Bernard Widrow and Marcian Hoff. Operation :
Continue Reading...