Leituras

Leituras Recomendadas

Semanalmente, iremos recomendando leituras para ajudar a digerir o amplo e complexo sistema de dados geoespaciais.

Pebesma, E.; Bivand, R. (2023). Spatial Data Science: With Applications in R. Chapman and Hall/CRC.
ERA5 Family. ERA5 explicacao
L. Gobatti et Al (2026). Thermal justice in urban climate change adaptation. Nature. Nature Article
Saldanha Rafael. 2026. Sistemas de Informação em Saúde no Brasil
Professora Cristiane. Cartografia e Representação da Terra em um plano
Visão Geral sobre Clustering SkLearn-Clustering
Canal sobre matemática e Deep Learning 3blue1brown
Ebook de Deep Learning DL-EBOOK
Biblia do Deep Learning Goodfellow Book
Deep Learning Notes Notes and EBOOK
Machine Learning Visualized ML-Visualized
Visualizing and Understanding Convolutional Neurowk Visualizing Dense Layers in CNN
Stanford Article - Convolutional Neural Network Stanford cnn
Cheatsheet of CNN - Cheatsheet
Stanford Deep Learning - DL - Stanford
CNN sendo treinada em seu browser. Karpathy CNN
2D visualização de um CNN - [2D CNN](https://adamharley.com/nn_vis/cnn/2d.html
2D CNN Explainer - CNN Explainer

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title: "Leituras"
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## Leituras Recomendadas

Semanalmente, iremos recomendando leituras para ajudar a digerir o amplo e complexo sistema de dados geoespaciais.

- Pebesma, E.; Bivand, R. (2023). [Spatial Data Science: With Applications in R](https://r-spatial.org/book/). Chapman and Hall/CRC.
- ERA5 Family. [ERA5 explicacao](https://confluence.ecmwf.int/spaces/CKB/pages/181127817/The+family+of+ERA5+datasets)
- L. Gobatti et Al (2026). **Thermal justice in urban climate change adaptation**. Nature. [Nature Article](https://www.nature.com/articles/s41558-026-02727-5)
- Saldanha Rafael. 2026. [Sistemas de Informação em Saúde no Brasil](https://rfsaldanha.github.io/sis/)
- Professora Cristiane. [Cartografia e Representação da Terra em um plano](https://www.professores.uff.br/cristiane/cartografia/)
- Visão Geral sobre Clustering [SkLearn-Clustering](https://scikit-learn.org/stable/modules/clustering.html#overview-of-clustering-methods)
- Canal sobre matemática e Deep Learning [3blue1brown](https://www.3blue1brown.com/?topic=neural-networks)
- Ebook de Deep Learning [DL-EBOOK](https://bnaskrecki.faculty.wmi.amu.edu.pl/)
- Biblia do Deep Learning [Goodfellow Book](https://www.deeplearningbook.org/)
- Deep Learning Notes [Notes and EBOOK](https://deeplearningnotes.com/)
- Machine Learning Visualized [ML-Visualized](https://ml-visualized.com/chapter1/linear_regression)
- Visualizing and Understanding Convolutional Neurowk [Visualizing Dense Layers in CNN](https://arxiv.org/pdf/1311.2901)
- Stanford Article - Convolutional Neural Network [Stanford cnn](https://cs231n.github.io/convolutional-networks/)
- Cheatsheet of CNN - [Cheatsheet](https://mriquestions.com/uploads/3/4/5/7/34572113/cheatsheet-convolutional-neural-networks.pdf)
- Stanford Deep Learning - [DL - Stanford](https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-convolutional-neural-networks/)
- CNN sendo treinada em seu browser. [Karpathy CNN](https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html)
- 2D visualização de um CNN - [2D CNN](https://adamharley.com/nn_vis/cnn/2d.html
- 2D CNN Explainer - [CNN Explainer](https://poloclub.github.io/cnn-explainer/)