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<h3>Some references</h3>
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<li class="level1"> Two machine learning bibles: Bishop (<a href="/lib/exe/fetch.php?media=bishop-pattern_recongnition_and_machine_learning-1.pdf" class="media mediafile mf_pdf" title="bishop-pattern_recongnition_and_machine_learning-1.pdf (4.7 MB)">1</a>,<a href="/lib/exe/fetch.php?media=bishop-pattern_recongnition_and_machine_learning-2.pdf" class="media mediafile mf_pdf" title="bishop-pattern_recongnition_and_machine_learning-2.pdf (4.1 MB)">2</a>  ) and <a href="http://statweb.stanford.edu/~tibs/ElemStatLearn/download.html" class="urlextern" title="http://statweb.stanford.edu/~tibs/ElemStatLearn/download.html" rel="ugc nofollow">Hasite et al.</a>.</li>
<li class="level1"> <a href="https://www.biostars.org/" class="urlextern" title="https://www.biostars.org/" rel="ugc nofollow">Biostars</a> is a good forum, similar to Stack Overflow in structure, but focused on bioinformatics and Computational Biology.</li>
<li class="level1"> <a href="http://www.wikiwand.com/en/List_of_free_online_bioinformatics_courses" class="urlextern" title="http://www.wikiwand.com/en/List_of_free_online_bioinformatics_courses" rel="ugc nofollow">List</a> of free online bioinformatics courses and some interesting <a href="http://bioconductor.org/help/events/" class="urlextern" title="http://bioconductor.org/help/events/" rel="ugc nofollow">events</a> in Bioconductor.</li>
<li class="level1"> <a href="https://www.coursera.org/course/pgm" class="urlextern" title="https://www.coursera.org/course/pgm" rel="ugc nofollow">This</a> is a good online course on Probabilistic Graphical Models by Daphne Koller.</li>
<li class="level1"> Bayesian Reasoning and Machine Learning, a good introductory <a href="http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/250214.pdf" class="urlextern" title="http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/250214.pdf" rel="ugc nofollow">book</a> by David Barber.</li>
<li class="level1"> <a href="http://stephenturner.us/edu.html" class="urlextern" title="http://stephenturner.us/edu.html" rel="ugc nofollow">List</a> of bioinformatics workshops.</li>
<li class="level1"> A 5-minutes introduction to next-generation sequencing <a href="https://www.youtube.com/watch?annotation_id=annotation_228575861&feature=iv&src_vid=womKfikWlxM&v=fCd6B5HRaZ8" class="urlextern" title="https://www.youtube.com/watch?annotation_id=annotation_228575861&feature=iv&src_vid=womKfikWlxM&v=fCd6B5HRaZ8" rel="ugc nofollow">video</a>.</li>
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<h3>Fun stuff</h3>
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<ol>
<li class="level1"> Inner <a href="https://www.youtube.com/watch?v=yKW4F0Nu-UY" class="urlextern" title="https://www.youtube.com/watch?v=yKW4F0Nu-UY" rel="ugc nofollow">Life</a> Of A Cell.</li>
<li class="level1"> The Dark Age of the <a href="https://www.youtube.com/watch?v=iyc3bDFk84w&src_vid=uabNtlLfYyU&feature=iv&annotation_id=annotation_558059" class="urlextern" title="https://www.youtube.com/watch?v=iyc3bDFk84w&src_vid=uabNtlLfYyU&feature=iv&annotation_id=annotation_558059" rel="ugc nofollow">Universe</a>, a good visualization of the big bang</li>
<li class="level1"> <a href="http://blogs.discovermagazine.com/d-brief/2015/11/18/pigeon-pathologists-know-cancer-when-they-see-it/#.VlNbrWSrQUH" class="urlextern" title="http://blogs.discovermagazine.com/d-brief/2015/11/18/pigeon-pathologists-know-cancer-when-they-see-it/#.VlNbrWSrQUH" rel="ugc nofollow">Pigeons</a> can learn to diagnose breast cancer with <a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141357" class="urlextern" title="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141357" rel="ugc nofollow">99</a>% accuracy.</li>
<li class="level1"> <a href="https://www.youtube.com/watch?v=jAhjPd4uNFY" class="urlextern" title="https://www.youtube.com/watch?v=jAhjPd4uNFY" rel="ugc nofollow">CRISPR</a> is an evolutionary tool for editing DNA, which <a href="https://www.youtube.com/watch?v=1BXYSGepx7Q" class="urlextern" title="https://www.youtube.com/watch?v=1BXYSGepx7Q" rel="ugc nofollow">reduces</a> the time and cost of genome modification by an order of magnitude.</li>
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