<div dir="ltr">Hi Yash,<div><br></div><div>The slack channel is: <a href="https://openchemistry.slack.com">https://openchemistry.slack.com</a></div><div><br></div><div>For the machine learning parsing project, I would recommend starting by considering what ML approaches might be useful. This is probably one of the toughest projects up on the ideas page, because you'll need to research the various methods and scope out one or several designs/approaches.</div><div><br></div><div>- Karol</div><div><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Mon, Feb 19, 2018 at 8:34 AM, Yash Sharan <span dir="ltr"><<a href="mailto:yashsharan.0805@gmail.com" target="_blank">yashsharan.0805@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hello everyone,<div>My name is Yash Sharan and I'm a third year student from BITS Pilani KK Birla Goa Campus.I'm pusuing Msc in Chemistry and BE in Electronics and Instrumentation.Open chemistry seems like the perfect organisation for me to contribute because i'm interested in both chemistry as well as computer science.I'm already familiar with deep learning and machine learning and i found the idea <b>Machine learning applied to parsing computational chemistry output </b>pretty interesting.I f somone can guide how to start with this idea I would be very thankful.</div><div>I also heard that this organisation has a slack channel so if someone can send me an invite to join that channel that would be great.</div><div>My slack email id is <a href="mailto:yashsharan.0805@gmail.com" target="_blank">yashsharan.0805@gmail.com</a></div><div>Thank you</div></div>
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