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Adds link in index
And also the start of Perl6
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README.md
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README.md
@ -76,6 +76,9 @@ For a list of free-to-attend meetups and local events, go [here](https://github.
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- [General-Purpose Machine Learning](#objectivec-general-purpose)
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- [OCaml](#ocaml)
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- [General-Purpose Machine Learning](#ocaml-general-purpose)
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- [Perl](#perl)
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- [Data Analysis / Data Visualization](#perl-data)
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- [General-Purpose Machine Learning](#perl-ml)
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- [PHP](#php)
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- [Natural Language Processing](#php-nlp)
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- [General-Purpose Machine Learning](#php-general-purpose)
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@ -710,6 +713,7 @@ on MNIST digits[DEEP LEARNING]
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<a name="perl"></a>
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## Perl
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<a name="perl-data"></a>
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### Data Analysis / Data Visualization
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* [Perl Data Language](https://metacpan.org/pod/Paws::MachineLearning),
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@ -717,6 +721,7 @@ a pluggable architecture for data and image processing, which can
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be
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[used for machine learning](https://github.com/zenogantner/PDL-ML).
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<a name="perl-ml"></a>
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### General-Purpose Machine Learning
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* [MXnet for Deep Learning, in Perl](https://github.com/dmlc/mxnet/tree/master/perl-package),
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@ -731,6 +736,17 @@ using AWS machine learning platform from Perl.
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namespace. For instance, you can
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find [Naïve Bayes](https://metacpan.org/pod/AI::NaiveBayes).
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<a name="perl 6"></a>
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## Perl 6
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### Data Analysis / Data Visualization
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* [Perl Data Language](https://metacpan.org/pod/Paws::MachineLearning),
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a pluggable architecture for data and image processing, which can
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be
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[used for machine learning](https://github.com/zenogantner/PDL-ML).
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### General-Purpose Machine Learning
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<a name="php"></a>
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## PHP
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