artificial intelligence

index.html

@@ -27,7 +27,10 @@
 			<ul>
 				<li><ziba-link>back-propagation</ziba-link></li>
 				<li><ziba-link>bandit</ziba-link></li>
+				<li><ziba-link>bayes rule</ziba-link></li>
+				<li><ziba-link>bernoulli distribution</ziba-link></li>
 				<li><ziba-link>big data</ziba-link></li>
+				<li><ziba-link>binomial distribution</ziba-link></li>
 				<li><ziba-link>business intelligence</ziba-link></li>
 			</ul>
 		</section>
@@ -57,6 +60,7 @@
 		<section id="E">
 			<h2>E</h2>
 			<ul>
+				<li><ziba-link>empirical distribution</ziba-link></li>
 				<li><ziba-link>epsilon-greedy</ziba-link></li>
 				<li><ziba-link>evolutionary algorithm</ziba-link></li>
 				<li><ziba-link>exploitation</ziba-link></li>
@@ -102,6 +106,7 @@
 			<ul>
 				<li><ziba-link>law of large numbers</ziba-link></li>
 				<li><ziba-link>levels of measurement</ziba-link></li>
+				<li><ziba-link>likelihood</ziba-link></li>
 				<li><ziba-link>linear</ziba-link></li>
 				<li><ziba-link>linear regression</ziba-link></li>
 				<li><ziba-link>logistic function</ziba-link></li>
@@ -114,6 +119,7 @@
 				<li><ziba-link>machine</ziba-link></li>
 				<li><ziba-link>machine learning</ziba-link></li>
 				<li><ziba-link>machine learning engineer</ziba-link></li>
+				<li><ziba-link>mean</ziba-link></li>
 				<li><ziba-link>monte carlo simulation</ziba-link></li>
 				<li><ziba-link>multi-armed bandit</ziba-link></li>
 			</ul>
@@ -137,7 +143,9 @@
 			<ul>
 				<li><ziba-link>pareto distribution</ziba-link></li>
 				<li><ziba-link>porter stemmer</ziba-link></li>
+				<li><ziba-link>posterior</ziba-link></li>
 				<li><ziba-link>principal component analysis</ziba-link></li>
+				<li><ziba-link>prior</ziba-link></li>
 				<li><ziba-link>python programming language</ziba-link></li>
 			</ul>
 		</section>
@@ -183,6 +191,7 @@
 		<section id="V">
 			<h2>V</h2>
 			<ul>
+				<li><ziba-link>variance</ziba-link></li>
 				<li><ziba-link>vector</ziba-link></li>
 				<li><ziba-link>visualization</ziba-link></li>
 			</ul>