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Ciência de Dados Complexos

Ciência de Dados Complexos

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Canal sobre Ciência de Dados e IA, onde divulgamos livros, tutoriais, cursos, palestras e muito mais. Tudo gratuito. Gerenciado pelo prof. Francisco Rodrigues (USP). Aulas online sobre Estatística e CD no Youtube: https://youtube.com/franciscorodrigues

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Livro em pdf: Mathematical Pathways to Machine Learning: Calculus, Linear Algebra, and Optimization https://zenodo.org/record
Livro em pdf: Mathematical Pathways to Machine Learning: Calculus, Linear Algebra, and Optimization https://zenodo.org/records/21752763

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Curso online: HarvardX: Data Science: Inference and Modeling https://www.edx.org/learn/data-science/harvard-university-data-s
Curso online: HarvardX: Data Science: Inference and Modeling https://www.edx.org/learn/data-science/harvard-university-data-science-inference-and-modeling
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Inscrições abertas! Para concorrer às bolsas, as inscrições vão até 30 de setembro. 🚨 𝐂𝐮𝐫𝐬𝐨 𝐨𝐧𝐥𝐢𝐧𝐞: 𝐏𝐫𝐨𝐛𝐚𝐛�
Inscrições abertas! Para concorrer às bolsas, as inscrições vão até 30 de setembro. 🚨 𝐂𝐮𝐫𝐬𝐨 𝐨𝐧𝐥𝐢𝐧𝐞: 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐝𝐚𝐝𝐞 𝐞 𝐄𝐬𝐭𝐚𝐭𝐢́𝐬𝐭𝐢𝐜𝐚: 𝐓𝐞𝐨𝐫𝐢𝐚, 𝐒𝐢𝐦𝐮𝐥𝐚𝐜̧𝐚̃𝐨 𝐞 𝐃𝐚𝐝𝐨𝐬 https://probest.icmc.usp.br
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Neural Networks: A Review from a Statistical Perspective
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📚Nosso curso de Probabilidade e Estatística está com inscrições abertas: https://probest.icmc.usp.br/
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Foundations of Machine learning - Lecture Notes https://www.dropbox.com/scl/fi/sw0kpasl1wp79ga4z87pf/Foundations-of-Machine-L
Foundations of Machine learning - Lecture Notes https://www.dropbox.com/scl/fi/sw0kpasl1wp79ga4z87pf/Foundations-of-Machine-Learning-Lecture-Notes.pdf?rlkey=levthc3e8rn1rzk02dyzuosbd&e=7&dl=0
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The Matrix Calculus You Need For Deep Learning https://arxiv.org/pdf/1802.01528
The Matrix Calculus You Need For Deep Learning https://arxiv.org/pdf/1802.01528
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Curso completo: "Machine Learning & Causal Inference: A Short Course" https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZE
Curso completo: "Machine Learning & Causal Inference: A Short Course" https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-
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Material excelente online: https://duchesnay.github.io/pystatsml/index.html#
Material excelente online: https://duchesnay.github.io/pystatsml/index.html#
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Livro online: https://jakevdp.github.io/PythonDataScienceHandbook/
Livro online: https://jakevdp.github.io/PythonDataScienceHandbook/
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https://mirtitles.org/2013/10/24/problems-in-linear-algebra-proskuryakov/
https://mirtitles.org/2013/10/24/problems-in-linear-algebra-proskuryakov/
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Livro em pdf: https://faculty.washington.edu/sbrunton/OptimizationBootcamp.pdf
Livro em pdf: https://faculty.washington.edu/sbrunton/OptimizationBootcamp.pdf
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Bases de dados médicos disponíveis online: MedMNIST https://medmnist.com/
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Cursos para quem usa Claude: Anthropic courses https://anthropic.skilljar.com/
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Playlist com o curso completo de Aprendizado de Máquina da Univ. de Stanford: https://www.youtube.com/watch?https://www.youtube.com/playlist?list=PLaqpC4kq8Gpw
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Biblioteca para fazer gráficos no Python: https://github.com/garrettj403/SciencePlots
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Curso completo da Universidade de Stanford no Youtube: Transformers & LLMs https://www.youtube.com/watch?v=Ub3GoFaUcds&list=PLoROMvodv4rOCXd21gf0CF4xr35yINeOy
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Curso completo no YouTube: Probabilistic ML https://www.youtube.com/watch?v=qg7V43qhOUE&list=PL05umP7R6ij0hPfU7Yuz8J9WXjlb3MFjm
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Base de dados públicos muito completa: https://github.com/awesomedata/awesome-public-datasets
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Livro em pdf: The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
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