Re: Textbook Recommendations

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thank you sean

On Wed, Feb 15, 2023 at 11:38 AM Sean Berry <[email protected]> wrote:

> 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]
>>
> _______________________________________________
> 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]
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<div dir=3D"ltr"><div class=3D"gmail_default" style=3D"font-family:tahoma,s=
ans-serif;font-size:small;color:#3d85c6">thank you sean</div></div><br><div=
 class=3D"gmail_quote"><div dir=3D"ltr" class=3D"gmail_attr">On Wed, Feb 15=
, 2023 at 11:38 AM Sean Berry &lt;<a href=3D"mailto:[email protected]">spb=
[email protected]</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" s=
tyle=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);pad=
ding-left:1ex"><div dir=3D"auto">Hi Britta,=C2=A0<div dir=3D"auto"><br></di=
v><div dir=3D"auto">Here is one that includes regression and machine learni=
ng that I&#39;ve found useful:</div><div dir=3D"auto"><br></div><div dir=3D=
"auto">Hands-On machine learning with scikit-learn, keras, &amp; tensor flo=
w. Written by Aurelien 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 &lt;<a href=3D"=
mailto:[email protected]" target=3D"_blank">[email protected]</=
a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"margin:0p=
x 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><d=
iv dir=3D"ltr"><div>Hi Britta,<br></div><div><br></div><div>I haven&#39;t r=
ead anything Python specific, but I like the following books:</div><div><br=
></div><div>For basic introductory stats, <a href=3D"https://wwnorton.com/b=
ooks/Statistics/" rel=3D"noreferrer" target=3D"_blank">Freedman, Pisani, an=
d Purves</a></div><div><br></div><div>As a follow up, Freedman&#39;s <a hre=
f=3D"https://www.cambridge.org/core/books/statistical-models/68F8872C7788AF=
62BD6513F7071EE1BA#fndtn-information" rel=3D"noreferrer" target=3D"_blank">=
Statistical Models: Theory and Practice</a>, teaches one to think criticall=
y about regression modeling and its limitations.</div><div><br></div><div>E=
fron and Hasties <a href=3D"https://hastie.su.domains/CASI_files/PDF/casi.p=
df" rel=3D"noreferrer" target=3D"_blank">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&#39;s <a=
 href=3D"https://hastie.su.domains/Papers/ESLII.pdf" rel=3D"noreferrer" tar=
get=3D"_blank">Elements of Statistical Learning</a>, classic introduction t=
o 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" rel=3D"nore=
ferrer" target=3D"_blank">Bayesian Data Analysis</a> for Bayesian modeling,=
 but I haven&#39;t read any other books on this topic.</div><div><br></div>=
<div>I tend to just read the relevant documentation (pymc, pyro, pytorch, s=
cikit-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><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 &lt;<a href=3D"mailto:b=
[email protected]" rel=3D"noreferrer" target=3D"_blank">bretana1226@gmai=
l.com</a>&gt; wrote:<br></div><blockquote class=3D"gmail_quote" style=3D"ma=
rgin: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 recommendations f=
or 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]" rel=3D"=
noreferrer" target=3D"_blank">[email protected]</a><br>
To unsubscribe send an email to <a href=3D"mailto:[email protected]=
rg" rel=3D"noreferrer" target=3D"_blank">[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]" rel=3D"noreferre=
r" target=3D"_blank">[email protected]</a><br>
</blockquote></div>
_______________________________________________<br>
SciPy-User mailing list -- <a href=3D"mailto:[email protected]" rel=3D"=
noreferrer" target=3D"_blank">[email protected]</a><br>
To unsubscribe send an email to <a href=3D"mailto:[email protected]=
rg" rel=3D"noreferrer" target=3D"_blank">[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]" rel=3D"noreferrer" ta=
rget=3D"_blank">[email protected]</a><br>
</blockquote></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>
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el=3D"noreferrer" target=3D"_blank">https://mail.python.org/mailman3/lists/=
scipy-user.python.org/</a><br>
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[email protected]</a><br>
</blockquote></div>

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