ccaruvana.github.io/2020ML.html at master · ccaruvana/ccaruvana.github.io · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
<html>


<head>
  <script src="https://polyfill.io/v3/polyfill.min.js?features=es6"></script>
  <script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
  <title>
    Home | C. Caruvana
  </title>
  <link rel="stylesheet" href="main.css">
  <link rel="icon" type="image/png" href="favicon.png">
</head>

<body>
  <div>
    <h1>C. Caruvana</h1>
    <h2>An adventure in learning about machine learning.</h2>
  </div>
  <div>

    <strong>5 August 2020.</strong>
    I have spent a few hours this summer learning some of the basic ideas behind machine learning.
    As a mathematician, I'm mostly interested in the mathematical foundations.
    With that in mind, I have written up some <a href="./LinearLogisticRegression.pdf" target="_blank" rel="noopener noreferrer">accompanying notes</a> in \(\LaTeX\).
    To recreate Examples 5 and 6, I provide the <a href="./LogReg.py">python code</a> I used and the input data: <a href="./SingleVarLogRegData.txt">Example 5 data</a> and <a href="./DoubleVarLogRegData.txt">Example 6 data</a>.
    To use the input data with the python code, I used the following command:<br />
    <blockquote>
      <pre>python3 LogReg.py &lt;inputData.txt</pre>
    </blockquote>

  </div>
</body>

</html>