Curso completo da Universidade de Stanford no Youtube: Transformers & LLMs
https://www.youtube.com/watch?v=Ub3GoFaUcds&list=PLoROMvodv4rOCXd21gf0CF4xr35yINeOy
https://www.youtube.com/watch?v=Ub3GoFaUcds&list=PLoROMvodv4rOCXd21gf0CF4xr35yINeOy
YouTube
Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 1 - Transformer
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
September 26, 2025
This lecture covers:
• Background on NLP and tasks
• Tokenization
• Embeddings
• Word2vec, RNN, LSTM
• Attention mechanism…
September 26, 2025
This lecture covers:
• Background on NLP and tasks
• Tokenization
• Embeddings
• Word2vec, RNN, LSTM
• Attention mechanism…
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Biblioteca para fazer gráficos no Python:
https://github.com/garrettj403/SciencePlots
https://github.com/garrettj403/SciencePlots
GitHub
GitHub - garrettj403/SciencePlots: Matplotlib styles for scientific plotting
Matplotlib styles for scientific plotting. Contribute to garrettj403/SciencePlots development by creating an account on GitHub.
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Playlist com o curso completo de Aprendizado de Máquina da Univ. de Stanford:
https://www.youtube.com/playlist?list=PLaqpC4kq8Gpw
https://www.youtube.com/playlist?list=PLaqpC4kq8Gpw
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Bases de dados médicos disponíveis online: MedMNIST
https://medmnist.com/
https://medmnist.com/
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Curso completo: "Machine Learning & Causal Inference: A Short Course"
https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-
https://www.youtube.com/playlist?list=PLxq_lXOUlvQAoWZEqhRqHNezS30lI49G-
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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
https://www.dropbox.com/scl/fi/sw0kpasl1wp79ga4z87pf/Foundations-of-Machine-Learning-Lecture-Notes.pdf?rlkey=levthc3e8rn1rzk02dyzuosbd&e=7&dl=0
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📚Nosso curso de Probabilidade e Estatística está com inscrições abertas:
https://probest.icmc.usp.br/
https://probest.icmc.usp.br/
probest.icmc.usp.br
Probabilidade e Estatística: Teoria, Simulação e Dados | USP
Curso 100% online da USP (ICMC) em Probabilidade e Estatística para Ciência de Dados, com teoria e prática em Python.
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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
🚨 𝐂𝐮𝐫𝐬𝐨 𝐨𝐧𝐥𝐢𝐧𝐞: 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐝𝐚𝐝𝐞 𝐞 𝐄𝐬𝐭𝐚𝐭𝐢́𝐬𝐭𝐢𝐜𝐚: 𝐓𝐞𝐨𝐫𝐢𝐚, 𝐒𝐢𝐦𝐮𝐥𝐚𝐜̧𝐚̃𝐨 𝐞 𝐃𝐚𝐝𝐨𝐬
https://probest.icmc.usp.br
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Curso online: HarvardX: Data Science: Inference and Modeling
https://www.edx.org/learn/data-science/harvard-university-data-science-inference-and-modeling
https://www.edx.org/learn/data-science/harvard-university-data-science-inference-and-modeling
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Livro em pdf:
Mathematical Pathways to Machine Learning:
Calculus, Linear Algebra, and Optimization
https://zenodo.org/records/21752763
Mathematical Pathways to Machine Learning:
Calculus, Linear Algebra, and Optimization
https://zenodo.org/records/21752763
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