Sure, I’d be all in! That’s actually perfect timing; I was just about to prepare my proposal for a CompBio talk at SciPy (talking about my large-scale virtual screening framework, where I also use ML for predictive modeling of chemical groups in target molecules), but yeah, I’d rather like to talk about scikit-learn since I am going to an CompBio conference in May already anyway.
> I'm about to read your book the next couple of days ;) Haha, that sounds like a pretty boring task :); if you don’t have a copy, yet, please let me know, I’d be happy to send one along (print & ebook). > Can you maybe have a look at last year's material? Will do. The deadline is not that far away (March 21, right?). Do you already have in mind what you’d like to talk about in particular? Best, Sebastian > On Mar 10, 2016, at 7:59 PM, Andreas Mueller <t3k...@gmail.com> wrote: > > Sebastian: looks like it will be on us ;) > Can you maybe have a look at last year's material? > I'm about to read your book the next couple of days ;) > > Sent from phone. Please excuse spelling and brevity. > > On Feb 22, 2016 12:20, "Sebastian Raschka" <se.rasc...@gmail.com> wrote: > After missing all the fun last year, I am also planning on attending — I’d > also be happy to help if there’s a shortage in core devs for the tutorials ;) > > Cheers, > Sebastian > > > On Feb 22, 2016, at 12:11 PM, Manoj Kumar <manojkumarsivaraj...@gmail.com> > > wrote: > > > > Hi everyone. > > > > I'll definitely be happy to help on the tutorial! > > > > On Mon, Feb 22, 2016 at 11:41 AM, Andreas Mueller <t3k...@gmail.com> wrote: > > Who's going? > > I'll definitely be there and am happy to do a tutorial. > > Who's in? > > > > > > > > On 02/22/2016 04:15 AM, Nelle Varoquaux wrote: > >> > >> Dear all, > >> > >> SciPy 2016, the Fifteenth Annual Conference on Python in Science, takes > >> place in Austin, TX on July, 11th to 17th. The conference features two > >> days of tutorials by followed by three days of presentations, and > >> concludes with two days of developer sprints on projects of interest to > >> attendees. . > >> > >> The topics presented at SciPy are very diverse, with a focus on advanced > >> software engineering and original uses of Python and its scientific > >> libraries, either in theoretical or experimental research, from both > >> academia and the industry. This year we are happy to announce two > >> specialized tracks that run in parallel to the general conference (Data > >> Science , High Performance Computing) and 8 mini-symposia (Earth and Space > >> Science, Biology and Medicine, Engineering, Social Sciences, Special > >> Purpose Databases, Case Studies in Industry, Education, Reproducibility) > >> > >> Submissions for talks and posters are welcome on our website > >> (http://scipy2016.scipy.org). In your abstract, please provide details on > >> what Python tools are being employed, and how. The talk and poster > >> submission deadline is March 25th, 2016, while the tutorial submission > >> deadline is March, 21st, 2016. > >> > >> > >> Important dates: > >> > >> Mar 21: Tutorial Proposals Due > >> Mar 25: Talk and Poster Proposals Due > >> May 11: Plotting Contest Submissions Due > >> Apr 22: Tutorials Announced > >> Apr 22: Financial Aid Submissions Due > >> May 4: Talk and Posters Announced > >> May 11: Financial Aid Recipients Notified > >> May 22: Early Bird Registration Deadline > >> Jul 11-12: SciPy 2016 Tutorials > >> Jul 13-15: SciPy 2016 General Conference > >> Jul 16-17: SciPy 2016 Sprints > >> > >> We look forward to an exciting conference and hope to see you in Austin in > >> July! > >> > >> > >> The Scipy 2016 > >> http://scipy2016.scipy.org/ > >> > >> Conference Chairs: Aric Hagberg, Prabhu Ramachandran > >> Tutorial Chairs: Justin Vincent, Ben Root > >> Program Chair: Serge Rey, Nelle Varoquaux > >> Proceeding Chairs: Sebastian Benthall > >> > >> > >> > >> ------------------------------------------------------------------------------ > >> Site24x7 APM Insight: Get Deep Visibility into Application Performance > >> APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month > >> Monitor end-to-end web transactions and take corrective actions now > >> Troubleshoot faster and improve end-user experience. Signup Now! > >> > >> http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140 > >> > >> > >> _______________________________________________ > >> Matplotlib-users mailing list > >> > >> matplotlib-us...@lists.sourceforge.net > >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > > ------------------------------------------------------------------------------ > > Site24x7 APM Insight: Get Deep Visibility into Application Performance > > APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month > > Monitor end-to-end web transactions and take corrective actions now > > Troubleshoot faster and improve end-user experience. Signup Now! > > http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140 > > _______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > > > > > > -- > > Manoj, > > http://github.com/MechCoder > > ------------------------------------------------------------------------------ > > Site24x7 APM Insight: Get Deep Visibility into Application Performance > > APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month > > Monitor end-to-end web transactions and take corrective actions now > > Troubleshoot faster and improve end-user experience. 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Signup Now! > http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140 > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ > Transform Data into Opportunity. > Accelerate data analysis in your applications with > Intel Data Analytics Acceleration Library. > Click to learn more. > http://pubads.g.doubleclick.net/gampad/clk?id=278785111&iu=/4140_______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Transform Data into Opportunity. Accelerate data analysis in your applications with Intel Data Analytics Acceleration Library. 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