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index.html
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<html class="gr__w3schools_com"><head><title>Machine Learning</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="shortcut icon" href="https://hkuportal.hku.hk/favicon.ico"/>
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/4.7.0/css/font-awesome.min.css">
<style>
html,body,h1,h2,h3,h4,h5,h6 {font-family: "Roboto", sans-serif !important}
.w3-sidenav a,.w3-sidenav h4 {padding: 12px !important}
.w3-navbar li a {
padding-top: 12px !important;
padding-bottom: 12px !important;
}
/* W3.CSS 2.84 Dec 2016 by Jan Egil and Borge Refsnes */
html{box-sizing:border-box}*,*:before,*:after{box-sizing:inherit}
/* Extract from normalize.css by Nicolas Gallagher and Jonathan Neal git.io/normalize */
html{-ms-text-size-adjust:100%;-webkit-text-size-adjust:100%}body{margin:0}
article,aside,details,figcaption,figure,footer,header,main,menu,nav,section,summary{display:block}
audio,canvas,progress,video{display:inline-block}progress{vertical-align:baseline}
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a{background-color:transparent;-webkit-text-decoration-skip:objects}
a:active,a:hover{outline-width:0}abbr[title]{border-bottom:none;text-decoration:underline;text-decoration:underline dotted}
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small{font-size:80%}sub,sup{font-size:75%;line-height:0;position:relative;vertical-align:baseline}
sub{bottom:-0.25em}sup{top:-0.5em}figure{margin:1em 40px}
img{border-style:none}svg:not(:root){overflow:hidden}
code,kbd,pre,samp{font-family:monospace,monospace;font-size:1em}
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button,input{overflow:visible}button,select{text-transform:none}
button,html [type=button],[type=reset],[type=submit]{-webkit-appearance:button}
button::-moz-focus-inner, [type=button]::-moz-focus-inner, [type=reset]::-moz-focus-inner, [type=submit]::-moz-focus-inner{border-style:none;padding:0}
button:-moz-focusring, [type=button]:-moz-focusring, [type=reset]:-moz-focusring, [type=submit]:-moz-focusring{outline:1px dotted ButtonText}
fieldset{border:1px solid #c0c0c0;margin:0 2px;padding:.35em .625em .75em}
legend{color:inherit;display:table;max-width:100%;padding:0;white-space:normal}textarea{overflow:auto}
[type=checkbox],[type=radio]{padding:0}
[type=number]::-webkit-inner-spin-button,[type=number]::-webkit-outer-spin-button{height:auto}
[type=search]{-webkit-appearance:textfield;outline-offset:-2px}
[type=search]::-webkit-search-cancel-button,[type=search]::-webkit-search-decoration{-webkit-appearance:none}
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/* End extract */
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{-webkit-transition:background-color .25s,color .15s,box-shadow .25s,opacity 0.25s,filter 0.25s,border 0.15s;transition:background-color .25s,color .15s,box-shadow .15s,opacity .25s,filter .25s,border .15s}
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input[type=checkbox].w3-check:checked+.w3-validate,input[type=radio].w3-radio:checked+.w3-validate{color:#009688}
input[type=checkbox].w3-check:disabled+.w3-validate,input[type=radio].w3-radio:disabled+.w3-validate{color:#aaa}
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{content:"";display:table;clear:both}
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<a onclick="getChapter(01)" class="w3-hover-black">Chapter 01 Introduction</a>
<a onclick="getChapter(02)" class="w3-hover-black">Chapter 02 Classification</a>
<a onclick="getChapter(03)" class="w3-hover-black">Chapter 03 Classifiers</a>
<a onclick="getBayes()" class="w3-hover-black">Chapter 03 Bayes</a>
<a onclick="getChapter(04)" class="w3-hover-black">Chapter 04 Data Preprocess</a>
<a onclick="getChapter(05)" class="w3-hover-black">Chapter 05 Dim Reduction</a>
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<a onclick="getChapter(12)" class="w3-hover-black">Chapter 12 ANN</a>
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<a onclick="getExercise(02)" class="w3-hover-black">Exercise 02 Linear Perceptron</a>
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<h2 class="w3-text-teal">Machine Learning Models and Methods</h2>
<h4>Chapters for Book "Python Machine Learning"</h4>
<a onclick="getChapter(01)" class="w3-hover-theme">Chapter 01 Introduction</a><br>
<a onclick="getChapter(02)" class="w3-hover-theme">Chapter 02 Training Machine Learning Algorithms for Classification</a><br>
<a onclick="getChapter(03)" class="w3-hover-theme">Chapter 03 A Tour of Machine Learning Classifiers</a><br>
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<a onclick="getChapter(04)" class="w3-hover-theme">Chapter 04 Building Good Training Sets: Data Pre-Processing</a><br>
<a onclick="getChapter(05)" class="w3-hover-theme">Chapter 05 Compressing Data via Dimensionality Reduction</a><br>
<a onclick="getChapter(06)" class="w3-hover-theme">Chapter 06 Learning Best Practices for Model Evaluation and Hyperparameter Tuning</a><br>
<a onclick="getChapter(07)" class="w3-hover-theme">Chapter 07 Combining Different Models for Ensemble Learning</a><br>
<a onclick="getChapter(08)" class="w3-hover-theme">Chapter 08 Applying Machine Learning To Sentiment Analysis</a><br>
<a onclick="getChapter(09)" class="w3-hover-theme">Chapter 09 Embedding a Machine Learning Model into a Web Application</a><br>
<a onclick="getChapter(10)" class="w3-hover-theme">Chapter 10 Predicting Continuous Target Variables with Regression Analysis</a><br>
<a onclick="getChapter(11)" class="w3-hover-theme">Chapter 11 Working with Unlabeled Data: Clustering Analysis</a><br>
<a onclick="getChapter(12)" class="w3-hover-theme">Chapter 12 Training Artificial Neural Networks for Image Recognition</a><br>
<a onclick="getChapter(13)" class="w3-hover-theme">Chapter 13 Parallelizing Neural Network Training with Theano</a><br>
<h4>My Analysis and Implementation</h4>
<a onclick="getExercise(01)" class="w3-hover-theme">Exercise 01 Sorting and Line fitting</a><br>
<a onclick="getExercise(02)" class="w3-hover-theme">Exercise 02 Linear perceptron and SGD</a><br>
<a onclick="getExercise(03)" class="w3-hover-theme">Exercise 03 RBF kernel, Kernel SVM complexity, Derive Gaussian density Bayes, and Digit classification</a><br>
<a onclick="getExercise(04)" class="w3-hover-theme">Exercise 04 Sequential feature selection and PCA versus LDA</a><br>
<a onclick="getExercise(05)" class="w3-hover-theme">Exercise 05 K-fold validation, Precision-recall curve, and Ensemble learning</a><br>
<a onclick="getExercise(06)" class="w3-hover-theme">Exercise 06 Clustering for handwritten digits and CNN on Cifar-10 (We use Wide ResNet and acheieved 94%)</a><br>
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