Just bought the book on amazon ;) It's interesting. Have you read Marslands book by any chance? It has a somewhat similar approach. My book will actually have much less math (no linear algebra, no derivatives, no probabilities). Let's see how that will go down lol.
I would base the material on last year probably, unless you have better material ;) I have several improvements, I think, and I'd polish it a bit. On 03/11/2016 02:18 AM, Sebastian Raschka wrote: > 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. > 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. 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