Re: Textbook Recommendations
Sean Berry <[email protected]> Wed, 15 Feb 2023 11:38:04 -0700
| Newsgroups | gmane.comp.python.scientific.user |
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| Message-ID | <CAD2_bh4-3Q+MFupH7JrVwhzqvb69-Ybdyc=SCd0N42iYHtbKEw@mail.gmail.com> |
--===============0508190005319424905== Content-Type: multipart/alternative; boundary="0000000000001b053505f4c1629c" --0000000000001b053505f4c1629c Content-Type: text/plain; charset="UTF-8" Hi Britta, Here is one that includes regression and machine learning that I've found useful: Hands-On machine learning with scikit-learn, keras, & tensor flow. Written by Aurelien Geron. Sean On Wed, Feb 15, 2023, 9:46 AM Albert Steppi <[email protected]> wrote: > 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] >> > _______________________________________________ > 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] > --0000000000001b053505f4c1629c Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"auto">Hi Britta,=C2=A0<div dir=3D"auto"><br></div><div dir=3D"a= uto">Here is one that includes regression and machine learning that I'v= e found useful:</div><div dir=3D"auto"><br></div><div dir=3D"auto">Hands-On= machine learning with scikit-learn, keras, & tensor flow. Written by A= urelien Geron.</div><div dir=3D"auto"><br></div><div dir=3D"auto">Sean</div= ></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" class=3D"gmail_attr"= >On Wed, Feb 15, 2023, 9:46 AM Albert Steppi <<a href=3D"mailto:albert.s= [email protected]">[email protected]</a>> wrote:<br></div><blockquot= e class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc sol= id;padding-left:1ex"><div dir=3D"ltr"><div>Hi Britta,<br></div><div><br></d= iv><div>I haven't read anything Python specific, but I like the followi= ng books:</div><div><br></div><div>For basic introductory stats, <a href=3D= "https://wwnorton.com/books/Statistics/" target=3D"_blank" rel=3D"noreferre= r">Freedman, Pisani, and Purves</a></div><div><br></div><div>As a follow up= , Freedman's <a href=3D"https://www.cambridge.org/core/books/statistica= l-models/68F8872C7788AF62BD6513F7071EE1BA#fndtn-information" target=3D"_bla= nk" rel=3D"noreferrer">Statistical Models: Theory and Practice</a>, teaches= one to think critically about regression modeling and its limitations.</di= v><div><br></div><div>Efron and Hasties <a href=3D"https://hastie.su.domain= s/CASI_files/PDF/casi.pdf" target=3D"_blank" rel=3D"noreferrer">Computer Ag= e Statistical Inference</a>, for a very broad overview of a wide range of c= omputational statistics topics.</div><div><br></div><div>Hastie, Tibshirani= , and Friedman's <a href=3D"https://hastie.su.domains/Papers/ESLII.pdf"= target=3D"_blank" rel=3D"noreferrer">Elements of Statistical Learning</a>,= classic introduction to statistical machine learning.</div><div><br></div>= <div>Gelman et al's <a href=3D"http://www.stat.columbia.edu/~gelman/boo= k/BDA3.pdf" target=3D"_blank" rel=3D"noreferrer">Bayesian Data Analysis</a>= for Bayesian modeling, but I haven't read any other books on this topi= c.</div><div><br></div><div>I tend to just read the relevant documentation = (pymc, pyro, pytorch, scikit-learn, scipy, statsmodels) to figure out how t= o do things in Python. Hopefully someone else can chime in with more Python= specific books.</div><div><br></div><div>Best,</div><div>Albert<br></div><= div><br></div><div><br></div></div><br><div class=3D"gmail_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]" target=3D"_blank" rel=3D"nore= ferrer">[email protected]</a>> wrote:<br></div><blockquote class=3D"= gmail_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(20= 4,204,204);padding-left:1ex">Dear SciPy community,<div dir=3D"auto">What ar= e your recommendations for textbooks concerning statistics and data science= ? That hopefully go 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" rel=3D"noreferrer">[email protected]</a><br> To unsubscribe send an email to <a href=3D"mailto:[email protected]= rg" target=3D"_blank" rel=3D"noreferrer">[email protected]</a><br= > <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= el=3D"noreferrer noreferrer" target=3D"_blank">https://mail.python.org/mail= man3/lists/scipy-user.python.org/</a><br> Member address: <a href=3D"mailto:[email protected]" target=3D"_blank= " rel=3D"noreferrer">[email protected]</a><br> </blockquote></div> _______________________________________________<br> SciPy-User mailing list -- <a href=3D"mailto:[email protected]" target= =3D"_blank" rel=3D"noreferrer">[email protected]</a><br> To unsubscribe send an email to <a href=3D"mailto:[email protected]= rg" target=3D"_blank" rel=3D"noreferrer">[email protected]</a><br= > <a href=3D"https://mail.python.org/mailman3/lists/scipy-user.python.org/" r= el=3D"noreferrer noreferrer" target=3D"_blank">https://mail.python.org/mail= man3/lists/scipy-user.python.org/</a><br> Member address: <a href=3D"mailto:[email protected]" target=3D"_blank" rel= =3D"noreferrer">[email protected]</a><br> </blockquote></div> --0000000000001b053505f4c1629c-- --===============0508190005319424905== 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] --===============0508190005319424905==--