<story><title>Top-down learning path: Machine Learning for Software Engineers</title><url>https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md</url></story><parent_chain></parent_chain><comment><author>vonnik</author><text>There are some valuable resources listed here.&lt;p&gt;The field of deep learning is moving really fast, and a lot of that research is available on arXiv. Andrej Karpathy built a tool that surfaces interesting papers: &lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;www.arxiv-sanity.com&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;www.arxiv-sanity.com&amp;#x2F;&lt;/a&gt;&lt;p&gt;r&amp;#x2F;machinelearning tends to vote up significant work and news
&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.reddit.com&amp;#x2F;r&amp;#x2F;MachineLearning&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.reddit.com&amp;#x2F;r&amp;#x2F;MachineLearning&amp;#x2F;&lt;/a&gt;&lt;p&gt;And this list of papers may be helpful:
&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;songrotek&amp;#x2F;Deep-Learning-Papers-Reading-Roadmap&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;songrotek&amp;#x2F;Deep-Learning-Papers-Reading-Ro...&lt;/a&gt;&lt;p&gt;For total beginners, we created this page: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;deeplearning4j.org&amp;#x2F;deeplearningforbeginners&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;deeplearning4j.org&amp;#x2F;deeplearningforbeginners&lt;/a&gt;</text></comment>
<story><title>Top-down learning path: Machine Learning for Software Engineers</title><url>https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README.md</url></story><parent_chain></parent_chain><comment><author>mysteryme</author><text>I appreciate a list of ML learning resources, but does anything about this strike you as strange?&lt;p&gt;Over 9000 github stars and 1,260 forks for a repo started on 9th October????</text></comment>