Ciência de Dados Complexos

Curso grátis na Google: Introduction to Generative AI Learning Path https://www.cloudskillsboost.google/journeys/118

Curso online: Introduction to Data-Centric AI, MIT https://www.youtube.com/playlist?list=PLnSYPjg2dHQKdig0vVbN-ZnEU0yNJ1mo5

15 Online Courses at Harvard University 1. Introduction to Computer Science https://www.edx.org/learn/computer-science/harvard-university-cs50-s-introduction-to-computer-science 2. Introduction to Game Development https://www.edx.org/learn/game-development/harvard-university-cs50-s-introduction-to-game-development 3. Introduction to Programming with Scratch https://www.edx.org/learn/scratch-programming/harvard-university-cs50-s-introduction-to-programming-with-scratch 4. Web Programming with Python and JavaScript https://www.edx.org/learn/web-development/harvard-university-cs50-s-web-programming-with-python-and-javascript 5. Computer Science for Business Professionals https://www.edx.org/learn/computer-science/harvard-university-cs50-s-computer-science-for-business-professionals 6. CS50 for Lawyers https://www.edx.org/learn/computer-science/harvard-university-cs50-s-computer-science-for-lawyers 7. Introduction to Artificial Intelligence with Python https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05 8. Introduction to Programming with Python https://www.edx.org/learn/python/harvard-university-cs50-s-introduction-to-programming-with-python 9. Data Science: Machine Learning https://www.edx.org/learn/machine-learning/harvard-university-data-science-machine-learning 10. Data Science: Productivity Tools https://www.edx.org/learn/data-science/harvard-university-data-science-productivity-tools 11. Understanding Technology https://pll.harvard.edu/course/cs50s-understanding-technology-0 12. Mobile App Development with React Native https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native 13. Introduction to Data Science with Python https://pll.harvard.edu/course/introduction-data-science-python 14. Artificial Intelligence in Business: Creating Value with Machine Learning. https://pll.harvard.edu/course/artificial-intelligence-business-creating-value-machine-learning 15. Fundamentals of TinyML https://pll.harvard.edu/course/fundamentals-tinyml

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art https://arxiv.org/abs/2308.16316

Biblioteca importante quando uma série temporal tem ruídos e outliers: https://github.com/cerlymarco/tsmoothie

Cursos online na Unicamp: https://moocs.ggte.unicamp.br/courses

Biblioteca interessante para visualização de dados em Python: https://bokeh.org/

Livro em pdf sobre modelos de regressão: Regression and Other Stories https://users.aalto.fi/~ave/ROS.pdf

Livro clássico sobre Aprendizado por Reforço: https://www.andrew.cmu.edu/course/10-703/textbook/BartoSutton.pdf

Livro em pdf: https://tropp.caltech.edu/notes/Tro21-Probability-High-LN-corr.pdf

Minicurso gratuito no IFT em São Paulo: Minicourse on Lattice models and applications to biological problems https://www.ictp-saifr.org/lmabp/

🚨Livro gratuito em pdf: DataScience and MachineLearning: Mathematical and Statistical Methods https://t.co/UrIhOcMScv

Relação entre os modelos probabilísticos: https://en.wikipedia.org/wiki/Relationships_among_probability_distributions

Novo curso de PLN na Universidade de Stanford: https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp

Livros gratuitos para quem usa R: 1. R for Data Science: https://r4ds.had.co.nz/ 2. R Packages: https://r-pkgs.org/ 3. Hands-On Programming with R: https://lnkd.in/gwD7qVgN 4. R Graphics Cookbook: https://r-graphics.org/ 5. Efficient R programming: https://lnkd.in/gBZaQXX8 6. Fundamentals of Data Visualization: https://lnkd.in/gaanuaxJ