Livro online:
Introdução à acessibilidade urbana
um guia prático em R
https://ipeagit.github.io/intro_access_book/
Introdução à acessibilidade urbana
um guia prático em R
https://ipeagit.github.io/intro_access_book/
Introduction to urban accessibility
a practical guide with R
Artigo: Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data
https://arxiv.org/abs/2105.07536
https://arxiv.org/abs/2105.07536
Livro gratuito sobre visão computacional:
Computer Vision: Algorithms and Applications, 2nd ed.
https://szeliski.org/Book/
Computer Vision: Algorithms and Applications, 2nd ed.
https://szeliski.org/Book/
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone.
https://autokeras.com/
https://autokeras.com/
Livro gratuito para o Kindle: https://www.amazon.in/Python-Data-Analysis-Comprehensive-Analytics-ebook/dp/B08KF5LXFD
Amazon
Python Data Analysis: Comprehensive Guide to Data Science, Analytics and Metrics with Python (Data Science and Analysis Book 1)
Python Data Analysis: Comprehensive Guide to Data Science, Analytics and Metrics with Python (Data Science and Analysis Book 1) eBook : Campbell, Alex : Amazon.in: Books
Semana que vem vou ministrar um colóquio que será transmitido online. Quem tiver interesse:
https://www.youtube.com/c/IFSCUSP1/streams
https://www.youtube.com/c/IFSCUSP1/streams
Curso online na University of Stanford (gratuito):
https://online.stanford.edu/courses/soe-ycs0007-mining-massive-data-sets
https://online.stanford.edu/courses/soe-ycs0007-mining-massive-data-sets
Stanford Online
Mining Massive Data Sets | Stanford Online
This courses introduces modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms from good algorithms in general.
Curso completo online:
https://www.youtube.com/playlist?list=PLXsDp0z6VWFTkAhFApYsNfqgRvZrPTeom
https://www.youtube.com/playlist?list=PLXsDp0z6VWFTkAhFApYsNfqgRvZrPTeom
Livro em pdf: MATHEMATICS FOR MACHINE LEARNING
https://t.co/Fn4UxwbnjP
https://t.co/Fn4UxwbnjP
livro em pdf: A Gentle Introduction to Optimization
https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/116-A-Gentle-Introduction-to-Optimization-B.-Guenin-J.-K%C3%B6nemann-L.-Tun%C3%A7el-Edisi-1-2014.pdf
https://industri.fatek.unpatti.ac.id/wp-content/uploads/2019/03/116-A-Gentle-Introduction-to-Optimization-B.-Guenin-J.-K%C3%B6nemann-L.-Tun%C3%A7el-Edisi-1-2014.pdf
Principais erros em aprendizado de máquina:
How to avoid machine learning pitfalls: a guide for academic researchers
https://arxiv.org/abs/2108.02497
How to avoid machine learning pitfalls: a guide for academic researchers
https://arxiv.org/abs/2108.02497
three-pitfalls-ML.pdf
2.6 MB
Artigo: Three pitfalls to avoid in machine learning
Livro online:
Networks, Crowds, and Markets:
Reasoning About a Highly Connected World
By David Easley and Jon Kleinberg
https://www.cs.cornell.edu/home/kleinber/networks-book/
Networks, Crowds, and Markets:
Reasoning About a Highly Connected World
By David Easley and Jon Kleinberg
https://www.cs.cornell.edu/home/kleinber/networks-book/