<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>minimaxir</author><text>Since the &amp;quot;How Do I Learn AI&amp;#x2F;ML&amp;quot; question pops up on Hacker News once a month (most recent: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=16138353&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;news.ycombinator.com&amp;#x2F;item?id=16138353&lt;/a&gt;), here&amp;#x27;s my comments:&lt;p&gt;Yes, Al&amp;#x2F;ML MOOCs teach the corresponding tools well, and the creation of new tools like Keras make the field much more accessable. The obsolete gatekeeping by the AI&amp;#x2F;ML elites who say &amp;quot;you can&amp;#x27;t use AI&amp;#x2F;ML unless you have a PhD&amp;#x2F;5 years research experience&amp;quot; is one of the things I &lt;i&gt;really&lt;/i&gt; hate about the industry.&lt;p&gt;&lt;i&gt;However&lt;/i&gt;, contrary to the thought pieces that tend to pop up, taking and passing a MOOC doesn&amp;#x27;t mean you&amp;#x27;ll be an expert in the field (and this applies for most MOOCs, honestly). They&amp;#x27;re very good for learning an overview of the technology, but &lt;i&gt;nothing&lt;/i&gt; beats appling the tools on a real-world, &lt;i&gt;noisy&lt;/i&gt; dataset, and solving the inevitable little problems that crop up during the process.&lt;p&gt;Reviewing the Keras documentation (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;keras.io&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;keras.io&lt;/a&gt;) and examples (&lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;keras-team&amp;#x2F;keras&amp;#x2F;tree&amp;#x2F;master&amp;#x2F;examples&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;keras-team&amp;#x2F;keras&amp;#x2F;tree&amp;#x2F;master&amp;#x2F;examples&lt;/a&gt;) are honestly much better teachers of AI&amp;#x2F;ML than any MOOC, in my opinion.</text><parent_chain></parent_chain></comment><story><title>Kaggle Learn review: there is a deep learning track and it is worth your time</title><url>https://techandmortals.wordpress.com/2018/01/27/kaggle-learn-review-there-is-a-deep-learning-track-and-it-is-worth-your-time/</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>dbecker</author><text>I&amp;#x27;m the lead on the Kaggle Learn project, and the author of the deep learning track.&lt;p&gt;I&amp;#x27;m happy to answer questions here.&lt;p&gt;I agree with the commenter saying you need to do your own projects to understand these topics.&lt;p&gt;Our deep learning track is meant to be the fastest path to knowing enough to do your own projects.  You can do the entire track, including the hands-on exercises, in a single sitting.&lt;p&gt;We won&amp;#x27;t make you an expert in an afternoon, but you&amp;#x27;ll know enough to start doing your own projects. For most people that&amp;#x27;s also the point where Deep Learning becomes fun enough that you&amp;#x27;ll find time to keep learning.&lt;p&gt;Kaggle Learn is still in a very early stage. We&amp;#x27;ll add more lessons soon. But we&amp;#x27;ll stay committed to the goal of getting you up-to-speed quickly, so you can take on your own projects.</text><parent_chain></parent_chain></comment><story><title>Kaggle Learn review: there is a deep learning track and it is worth your time</title><url>https://techandmortals.wordpress.com/2018/01/27/kaggle-learn-review-there-is-a-deep-learning-track-and-it-is-worth-your-time/</url></story>