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diff --git a/docs/utilities.html b/docs/utilities.html
@@ -1,4 +1,7 @@
-<html style="" lang="en" class="js flexbox fontface"><head><meta charset="utf-8"><meta content="width=device-width, initial-scale=1.0" name="viewport"><meta content="OCaml Scientific and Engineering Computing - Tutorial Book" name="description"><meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Internal Utility Modules - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
+<html style="" lang="en" class="js flexbox fontface"><head>
+  <meta charset="utf-8"><meta content="width=device-width, initial-scale=1.0" name="viewport">
+  <meta name="description" content="Explore Owl's internal utility modules, including Dataset for accessing MNIST and CIFAR-10 datasets, Graph for graph manipulation, Stack and Heap for collection handling, and Count-Min Sketch for approximate counting. Learn how to use these modules for tasks like deep neural network training and realistic image classification.">
+  <meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Internal Utility Modules - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
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diff --git a/docs/visualisation.html b/docs/visualisation.html
@@ -1,4 +1,7 @@
-<html style="" lang="en" class="js flexbox fontface"><head><meta charset="utf-8"><meta content="width=device-width, initial-scale=1.0" name="viewport"><meta content="OCaml Scientific and Engineering Computing - Tutorial Book" name="description"><meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Visualisation - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
+<html style="" lang="en" class="js flexbox fontface"><head><meta charset="utf-8">
+<meta content="width=device-width, initial-scale=1.0" name="viewport">
+<meta name="description" content="Explore data visualization with Owl, an OCaml numerical library. Learn how to create sophisticated plots effortlessly using the flexible Plot module. From basic function plots to advanced 3D visualizations, Owl offers extensive support for data analysis and visualization.">
+<meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Visualisation - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
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diff --git a/docs/zoo.html b/docs/zoo.html
@@ -1,4 +1,7 @@
-<html style="" lang="en" class="js flexbox fontface"><head><meta charset="utf-8"><meta content="width=device-width, initial-scale=1.0" name="viewport"><meta content="OCaml Scientific and Engineering Computing - Tutorial Book" name="description"><meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Scripting and Zoo System - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
+<html style="" lang="en" class="js flexbox fontface"><head><meta charset="utf-8">
+<meta content="width=device-width, initial-scale=1.0" name="viewport">
+<meta name="description" content="Explore the Zoo system, a platform for creating and sharing small OCaml scripts for data analytics. Learn how to address challenges in deploying machine learning analytics on edge devices and discover the simplicity of Zoo's core functionality. Share, distribute, and import scripts seamlessly, enhancing modularity and composition in your data analytics workflows.">
+<meta content="OCaml, Data Science, Data Analytics, Analytics, Functional Programming, Machine Learning, Deep Neural Network, Scientific Computing, Numerical Algorithm, Tutorial, Linear Algebra, Matrix" name="keywords"><meta content="Liang Wang" name="author"><title>Scripting and Zoo System - OCaml Scientific Computing Tutorials</title><link href="css/app.css" rel="stylesheet"><link href="css/prism.css" rel="stylesheet"><script src="js/min/modernizr-min.js"></script><script src="js/prism.js"></script><script src="https://use.typekit.net/gfj8wez.js"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-MML-AM_CHTML"></script><script>try{Typekit.load();}catch(e){}</script><script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1868946892712371" crossorigin="anonymous"></script><script async src="https://www.googletagmanager.com/gtag/js?id=UA-123353217-1"></script><script>
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