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add aml4td (#11666)

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adds the book "Applied Machine Learning for Tabular Data"
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      books/free-programming-books-subjects.md

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@ -411,6 +411,7 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [A Selective Overview of Deep Learning](https://arxiv.org/abs/1904.05526) - Fan, Ma, Zhong (PDF) * [A Selective Overview of Deep Learning](https://arxiv.org/abs/1904.05526) - Fan, Ma, Zhong (PDF)
* [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF) * [Algorithms for Reinforcement Learning](https://sites.ualberta.ca/~szepesva/papers/RLAlgsInMDPs.pdf) - Csaba Szepesvári (PDF)
* [An Introduction to Statistical Learning](https://www.statlearning.com) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani * [An Introduction to Statistical Learning](https://www.statlearning.com) - Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
* [Applied Machine Learning for Tabular Data](https://aml4td.org) - Max Kuhn, Kjell Johnson
* [Approaching Almost Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost) - Abhishek Thakur (PDF) * [Approaching Almost Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost) - Abhishek Thakur (PDF)
* [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage) * [Bayesian Reasoning and Machine Learning](http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage)
* [Deep Learning](https://www.deeplearningbook.org) - Ian Goodfellow, Yoshua Bengio, Aaron Courville * [Deep Learning](https://www.deeplearningbook.org) - Ian Goodfellow, Yoshua Bengio, Aaron Courville

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