Monthai的实践:表单+表格+a链接
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<meta charset="utf-8">
<title>阶段学习成果</title>
<link rel="shortcut icon" type="image/x-icon" href="https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1540481193016&di=c8e2640e045a9ecf6bbf12996384a4e1&imgtype=0&src=http%3A%2F%2Fwww.jituwang.com%2Fuploads%2Fallimg%2F151208%2F258057-15120R3593535.jpg">
<style type="text/css">
input{margin: 3px; padding: 10px; width: 176px; height: 10x;}
button{margin: 0px; padding: 0px; width: 200px; height: 40px; }
table{border: 1px solid black; }
tr td{border: 1px dashed black;}
div{background: #C9E7EE; width: 1080px; height: 500px;}
img{width: 560px}
p{text-indent: 2em;}
a{text-decoration: none;}
a:hover{color:#868A08; text-decoration: underline;}
</style>
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<body>
<form id="top" method="post" action="">
<input type="text" name="username" placeholder="请输入用户名"><br>
<input type="password" name="psw" placeholder="请输入密码"><br>
<button>提交</button>
</form>
<br>
<br>
<table>
<tr>
<th colspan="3">header</th>
</tr>
<tr>
<td>data11</td>
<td>data12</td>
<td>data13</td>
</tr>
<tr>
<td>data21</td>
<td>data22</td>
<td>data23</td>
</tr>
</table>
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<p><b>机器学习(Machine Learning, ML)</b>是一门多领域交叉学科,涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。</p>
<p><i>它是人工智能的核心,是使计算机具有智能的根本途径,其应用遍及人工智能的各个领域,它主要使用归纳、综合而不是演绎。</i></p>
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