xingqing 发表于 2024-4-17 15:00:27

《机器学习之道》:无需数学,轻松上手,探索机器学习的无限...


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<p>轻松解锁机器学习的潜力,<br/>
全靠《机器学习之道》。</p>
<p>这里没有数学难题 – 只有获取掌握k-近邻算法、随机森林、神经网络等实践洞见的途径。</p>
<p>由备受好评的作者Norman Matloff撰写的这本指南,<br/>
使用真实数据集为你打造坚实的基础。</p>
<p>深入了解回归、分类和图像处理,<br/>
准备好将机器学习技术应用到你自己的数据集中。</p>
<p>享受数十个图解示例和简化的R接口。</p>
<p>Unlock the potential of machine learning effortlessly with The Art of Machine Learning.<br/>
No math hurdles here – just practical insights for mastering k-Nearest Neighbors, random forests, neural networks, and more.<br/>
This guide, by acclaimed author Norman Matloff, equips you with a solid foundation using real datasets.<br/>
Dive into regression, classification, and image handling, emerging ready to apply machine learning techniques to your own datasets.<br/>
Enjoy dozens of illustrative examples and a simplified R interface.
</p>

<ul>
<li>教程编号:1213574209</li>
<li>教程语言:英语 / 无字幕</li>
<li>安全扫描:无病毒无插件 / 云查杀 <a href="https://www.virustotal.com/" target="_blank" rel="nofollow noopener">Virustotal</a> <a href="https://virscan.org/" target="_blank" rel="nofollow noopener">Virscan</a></li>
<li>培训机构:未知</li>
<li>文件大小:3.72MB</li>
<li>文件格式:视频 / 文档 / 图文</li>
<li>压缩软件:<a href="https://sparanoid.com/lab/7z/" target="_blank" rel="nofollow noopener">7ZIP</a></li>
<li>视频播放:<a href="https://jm.wmzhe.com/" target="_blank" rel="nofollow noopener">完美解码</a></li>
</ul>

<pre class="wp-block-code">
<code>
│└─The Art of Machine Learning
│          The Art of Machine Learning.pdf

</code>
</pre>
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