Re: Textbook Recommendations
Albert Steppi <[email protected]> Wed, 15 Feb 2023 11:45:30 -0500
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--===============7506820084549829030== Content-Type: multipart/alternative; boundary="0000000000000ee41b05f4bfd117" --0000000000000ee41b05f4bfd117 Content-Type: text/plain; charset="UTF-8" Hi Britta, I haven't read anything Python specific, but I like the following books: For basic introductory stats, Freedman, Pisani, and Purves <https://wwnorton.com/books/Statistics/> As a follow up, Freedman's Statistical Models: Theory and Practice <https://www.cambridge.org/core/books/statistical-models/68F8872C7788AF62BD6513F7071EE1BA#fndtn-information>, teaches one to think critically about regression modeling and its limitations. Efron and Hasties Computer Age Statistical Inference <https://hastie.su.domains/CASI_files/PDF/casi.pdf>, for a very broad overview of a wide range of computational statistics topics. Hastie, Tibshirani, and Friedman's Elements of Statistical Learning <https://hastie.su.domains/Papers/ESLII.pdf>, classic introduction to statistical machine learning. Gelman et al's Bayesian Data Analysis <http://www.stat.columbia.edu/~gelman/book/BDA3.pdf> for Bayesian modeling, but I haven't read any other books on this topic. I tend to just read the relevant documentation (pymc, pyro, pytorch, scikit-learn, scipy, statsmodels) to figure out how to do things in Python. Hopefully someone else can chime in with more Python specific books. Best, Albert On Wed, Feb 15, 2023 at 10:31 AM Britta Smith <[email protected]> wrote: > Dear SciPy community, > What are your recommendations for textbooks concerning statistics and data > science? That hopefully go into depth about regression, and hopefully > python. > Many thanks, > Britta > _______________________________________________ > SciPy-User mailing list -- [email protected] > To unsubscribe send an email to [email protected] > https://mail.python.org/mailman3/lists/scipy-user.python.org/ > Member address: [email protected] > --0000000000000ee41b05f4bfd117 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>Hi Britta,<br></div><div><br></div><div>I haven't= read anything Python specific, but I like the following books:</div><div><= br></div><div>For basic introductory stats, <a href=3D"https://wwnorton.com= /books/Statistics/">Freedman, Pisani, and Purves</a></div><div><br></div><d= iv>As a follow up, Freedman's <a href=3D"https://www.cambridge.org/core= /books/statistical-models/68F8872C7788AF62BD6513F7071EE1BA#fndtn-informatio= n">Statistical Models: Theory and Practice</a>, teaches one to think critic= ally about regression modeling and its limitations.</div><div><br></div><di= v>Efron and Hasties <a href=3D"https://hastie.su.domains/CASI_files/PDF/cas= i.pdf">Computer Age Statistical Inference</a>, for a very broad overview of= a wide range of computational statistics topics.</div><div><br></div><div>= Hastie, Tibshirani, and Friedman's <a href=3D"https://hastie.su.domains= /Papers/ESLII.pdf">Elements of Statistical Learning</a>, classic introducti= on to statistical machine learning.</div><div><br></div><div>Gelman et al&#= 39;s <a href=3D"http://www.stat.columbia.edu/~gelman/book/BDA3.pdf">Bayesia= n Data Analysis</a> for Bayesian modeling, but I haven't read any other= books on this topic.</div><div><br></div><div>I tend to just read the rele= vant documentation (pymc, pyro, pytorch, scikit-learn, scipy, statsmodels) = to figure out how to do things in Python. Hopefully someone else can chime = in with more Python specific books.</div><div><br></div><div>Best,</div><di= v>Albert<br></div><div><br></div><div><br></div></div><br><div class=3D"gma= il_quote"><div dir=3D"ltr" class=3D"gmail_attr">On Wed, Feb 15, 2023 at 10:= 31 AM Britta Smith <<a href=3D"mailto:[email protected]">bretana1226= @gmail.com</a>> wrote:<br></div><blockquote class=3D"gmail_quote" style= =3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding= -left:1ex">Dear SciPy community,<div dir=3D"auto">What are your recommendat= ions for textbooks concerning statistics and data science? That hopefully g= o into depth about regression, and hopefully python.</div><div dir=3D"auto"= >Many thanks,</div><div dir=3D"auto">Britta</div> _______________________________________________<br> SciPy-User mailing list -- <a href=3D"mailto:[email protected]" target= =3D"_blank">[email protected]</a><br> To unsubscribe send an email to <a href=3D"mailto:[email protected]= rg" target=3D"_blank">[email protected]</a><br> <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/= scipy-user.python.org/</a><br> Member address: <a href=3D"mailto:[email protected]" target=3D"_blank= ">[email protected]</a><br> </blockquote></div> --0000000000000ee41b05f4bfd117-- --===============7506820084549829030== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ SciPy-User mailing list -- [email protected] To unsubscribe send an email to [email protected] https://mail.python.org/mailman3/lists/scipy-user.python.org/ Member address: [email protected] --===============7506820084549829030==--