Evento interessante e gratuito em SP.👇👇👇

Livro de Estatística online: https://greenteapress.com/thinkstats/thinkstats.pdf

Livro online em pdf: https://inference.org.uk/itila/book.html

Curso de programação Android na Unicamp:
https://moocs.ggte.unicamp.br/course/android/intro

Excelente livro sobre Álgebra Linear: Interactive Linear Algebra

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

Novo curso de PLN na Universidade de Stanford:

https://www.youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp

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

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

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

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

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

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

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

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

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

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

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