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    <title>Neural Networks on ARI Systems</title>
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    <description>Recent content in Neural Networks on ARI Systems</description>
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      <title>Artificial Intelligence</title>
      <link>https://aripd.com/blog/artificial-intelligence/</link>
      <pubDate>Thu, 20 Apr 2017 23:52:00 +0000</pubDate>
      <guid>https://aripd.com/blog/artificial-intelligence/</guid>
      <description>&lt;h2 id=&#34;references&#34;&gt;References &lt;a href=&#34;#references&#34; class=&#34;permalink&#34;&gt;&lt;i class=&#34;bi bi-link-45deg&#34;&gt;&lt;/i&gt;&lt;/a&gt;&lt;/h2&gt;&lt;ul&gt;&#xA;&lt;li&gt;&lt;a href=&#34;http://www.datasciencecentral.com/profiles/blogs/new-post&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;Artificial Intelligence: Look Ma, No Hands!&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;http://cs229.stanford.edu&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;Stanford University CS 229 Machine Learning&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;http://cs231n.stanford.edu&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;Stanford University CS231n: Convolutional Neural Networks for Visual Recognition&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://www.youtube.com/watch?v=wjTJVhmu1JM&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;Machine Learning: The Basics, with Ron Bekkerman&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://www.youtube.com/watch?v=DZT-oMqJVA8&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;Machine Learning for Big Data in the Cloud&lt;/a&gt;&lt;/li&gt;&#xA;&lt;li&gt;&lt;a href=&#34;https://users.ece.cmu.edu/~hengganc/archive/report/final.pdf&#34; target=&#34;_blank&#34; rel=&#34;noopener noreferrer&#34;&gt;GraphLab vs. Piccolo vs. Spark&lt;/a&gt;&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;h2 id=&#34;basics&#34;&gt;Basics &lt;a href=&#34;#basics&#34; class=&#34;permalink&#34;&gt;&lt;i class=&#34;bi bi-link-45deg&#34;&gt;&lt;/i&gt;&lt;/a&gt;&lt;/h2&gt;&lt;ul&gt;&#xA;&lt;li&gt;Supervised Learning (Classification): is powerful when the classifications are known to be correct for instance, when dealing with diseases.&lt;/li&gt;&#xA;&lt;li&gt;Unsupervised Learning (Clustring): can be useful to find hidden structure in unlabeled data.&lt;/li&gt;&#xA;&lt;li&gt;Reinforcement Learning (Regression): can provide powerful tools which allow agents to adopt and improve quickly, even in complex scenarios such as strategy games. It interacts with its environment in discrete time steps.&lt;/li&gt;&#xA;&lt;/ul&gt;&#xA;&lt;h2 id=&#34;ai-in-steps&#34;&gt;AI in Steps &lt;a href=&#34;#ai-in-steps&#34; class=&#34;permalink&#34;&gt;&lt;i class=&#34;bi bi-link-45deg&#34;&gt;&lt;/i&gt;&lt;/a&gt;&lt;/h2&gt;&lt;p&gt;Most common steps towards creating artificial intelligence are -&lt;/p&gt;</description>
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