<blockquote>
  <p><a href="https://stats.meta.stackexchange.com/questions/4706/how-should-we-celebrate-reaching-100-000-questions">How should we celebrate reaching 100,000 questions?</a></p>
</blockquote>

<p>I'm not sure this'd even work... But let's see.</p>

<p>I nominate <strong>22nd April Saturday, 3pm</strong> gather for coffee breaks in Sydney CBD.</p>

<p>Let's me briefly describe myself:</p>

<p>My background is in computing, finance and mathematics. I'm currently a bioinformatician, specalized in genomic analysis. I use statistics to develop models for our DNA genome.</p>

<p>I used to work as a quantitative analyst in finance, where I helped developing option pricing models. But I find statistics more interesting.</p>

<p>I'd argue myself an expert in chess programming. I write my own chess engines and sell them for profits on mobile platform (<a href="http://www.smallchess.com" rel="nofollow noreferrer">http://www.smallchess.com</a>). I'm currently the leader in chess engine on <a href="http://chess.stackexchange.com">chess.stackexchange.com</a> by a wide margin (2x the second leader):</p>

<blockquote>
  <p><a href="https://chess.stackexchange.com/tags/engines/topusers">https://chess.stackexchange.com/tags/engines/topusers</a></p>
</blockquote>

<p>I'm applying statistics and machine learning in chess. I don't just use save statistics R-code somewhere on Github. I'd actually translate the code into C++, and <strong>sell it</strong> on the App Store.</p>

<p>Let's run through two example I'm still working on:</p>

<p><strong>Q1: What's the piece value for a given chess position?</strong></p>

<p>Chess players use their experience to say which chess pieces are "good", and which chess pieces are "bad". Imagine there is a mobile app that you can download from the App Store, where you give it a chess position and it tells you statistical value for each piece? What about the Monte Carlo tree search? Maybe we can use logistic regression?</p>

<p><a href="https://i.stack.imgur.com/fAaSg.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/fAaSg.png" alt="enter image description here"></a></p>

<p><strong>Q2: How to derive similarity measure for two different chess positions?</strong></p>

<p>This is actually an insane problem. The positions must have similar evaluation to be considered similar. Unfortunately, there is no known way to do it without running a chess engine. Running a chess engine is very slow, we would like to do it statically. Imagine there is a reliable similarity measure, we'd be able to apply machine learning on a given position, and compare it to a set of pre-trained models.</p>

<p>We can talk about anything interesting related to data analytics and chess!</p>

<p><strong>EDIT (we have two):</strong></p>

<p>I have got a taker. So we have two (including myself). More!</p>

<p><strong>EDIT</strong></p>

<p>Bump up the page.</p>
