> For the complete documentation index, see [llms.txt](https://luis-souza-1.gitbook.io/wiki/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://luis-souza-1.gitbook.io/wiki/data-science.md).

# Data Science

## Bibliotecas

* [Detectron](https://github.com/facebookresearch/Detectron)
* [Detectron2](https://github.com/facebookresearch/detectron2)
* [Kats](https://github.com/facebookresearch/Kats)
* [HuggingFace](https://huggingface.co/)
* [GeoPandas](https://geopandas.org/)
* [Milvus](https://milvus.io/)
* [Polars](https://www.pola.rs/)
* [SkTime](https://www.sktime.org/en/stable/)
* [Tabula](https://pypi.org/project/tabula-py/)
* [Tidyverse](https://www.tidyverse.org/)
* [Yolo](https://docs.ultralytics.com/)

## Ferramentas

* [Doccano](https://github.com/doccano/doccano)
* [Google Collab](https://colab.research.google.com/)
* [Jupyter Notebook](https://jupyter.org/)
* [Kaggle](https://www.kaggle.com/)

## Inteligência Artificial (AI)

* [O que é ?](https://en.wikipedia.org/wiki/Artificial_intelligence)

## Linguagens

* [Mojo](https://www.modular.com/mojo)

## Machine Learning (ML)

* [Algoritmos não supervisionados](https://www.alura.com.br/conteudo/machine-learning-algoritmos-nao-supervisionados)
* [Aprendizado supervisionado](https://isitics.com/2018/08/28/aprendizagem-supervisionada-ou-nao-supervisionada/#:~:text=Imagine%20que%20n%C3%A3o%20se%20tem,estar%C3%A3o%20em%20algum%20grupo%20criado.)
* [Deep Learning](https://pt.wikipedia.org/wiki/Aprendizagem_profunda)
* [Hiperparâmetros](https://medium.com/data-hackers/otimizando-os-hiperpar%C3%A2metros-621de5e9be37)
* [MLOps](http://datascienceacademy.com.br/blog/o-que-e-mlops-e-por-que-isso-importa/)
* [NLP (Natural Language Processing)](https://take.net/blog/devs/nlp-processamento-linguagem-natural)
  * [Bag of Words](https://en.wikipedia.org/wiki/Bag-of-words_model)
  * [BERT](https://rockcontent.com/br/blog/bert/)
  * [Embeddings](https://cloud.google.com/solutions/machine-learning/overview-extracting-and-serving-feature-embeddings-for-machine-learning?hl=pt)
  * [Lematization](https://nlp.stanford.edu/IR-book/html/htmledition/stemming-and-lemmatization-1.html)
  * [Stemming](https://nlp.stanford.edu/IR-book/html/htmledition/stemming-and-lemmatization-1.html)
  * [TF-IDF](https://pt.wikipedia.org/wiki/Tf%E2%80%93idf)
  * [Word2Vec](https://medium.com/@everton.tomalok/word2vec-e-sua-import%C3%A2ncia-na-etapa-de-pr%C3%A9-processamento-d0813acfc8ab)
* [O que é ?](https://pt.wikipedia.org/wiki/Aprendizado_de_m%C3%A1quina)
* [Weka](https://www.cs.waikato.ac.nz/ml/weka/)

## Redes Neurais

* [ANN (Artifical Neural Network)](https://en.wikipedia.org/wiki/Artificial_neural_network)
* [CNN (Convolutional Neural Network)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)
* [FNN (Feedforward Neural Network)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)
* [KSO (Kohonen Self Organizing)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)
* [MNN (Modular Neural Network)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)
* [RBF (Radial Basis Function)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)
* [RNN (Recurrent Neural Network)](https://analyticsindiamag.com/6-types-of-artificial-neural-networks-currently-being-used-in-todays-technology/)