Hace poco fue noticia que Springer liberó casi 500 libros para ser descargados en este tiempo de #QuedateEnCasa por el coronavirus, la SEE te trae estos libro pero adicionalmente te traemos una selección de libros de MIT Press, de ORelly y de Packt.
Links generales para buscar libros
Los links donde uds pueden ver toda la selección de libros son:
Springer: https://link.springer.com/search?package=mat-covid19_textbooks&facet-content-type=»Book«
MIT Press: https://mitpress.mit.edu/mit-press-open
Packt: https://www.packtpub.com/packt/free-ebook/
Descargar todos los libros de Springer
Se han creado scripts para descargar los casi 500 libros de Springer de una sóla vez, les compartimos os links para hacerlo en R y Python.
Usando R: https://www.statsandr.com/blog/a-package-to-download-free-springer-books-during-covid-19-quarantine/
Usando Python: https://github.com/hathagat/springer_free_german_books
Libros seleccionados de Springer, MIT Press, y O Relly
- Statistical Learning from a Regression Perspective, con código en R (Springer)
link: https://link.springer.com/book/10.1007/978-3-319-44048-4
- Python Machine Learning By Example, libro gratuito, (Packt)
- Regression Modeling Strategies – Ejercicios en R (Springer)
link: https://link.springer.com/book/10.1007/978-3-319-19425-7
- Probability and Statistics for Computer Science (Springer)
link: https://link.springer.com/book/10.1007/978-3-319-64410-3
- Introduction to Time Series and Forecasting (Springer)
link: https://link.springer.com/book/10.1007/978-3-319-29854-2
- Understanding Statistics and Experimental Design (Springer)
link: https://link.springer.com/book/10.1007/978-3-030-03499-3
- An Introduction to Machine Learning – 2da Ed
link: https://link.springer.com/book/10.1007/978-3-319-63913-0
- Excel Data Analysis: Modeling and Simulation
link: https://link.springer.com/book/10.1007/978-3-030-01279-3
- Market SegmentationAnalysis
link: https://link.springer.com/book/10.1007/978-981-10-8818-6
- Quantitative Methods for the Social Sciences, A Practical Introduction, examples in SPSS and Stata
link: https://link.springer.com/book/10.1007/978-3-319-99118-4
- Bayesian Essentials with R
link: https://link.springer.com/book/10.1007/978-1-4614-8687-9
- Understanding Statistics Using R
link: https://link.springer.com/book/10.1007/978-1-4614-6227-9
- Fundamentos de Ciencia de datos para Medicina
link: https://link.springer.com/book/10.1007/978-3-319-99713-1
MIT PRESS
- Foundations of Machine Learning second edition
Link: https://mitpress.ublish.com/ereader/7093/?preview=#page/Cover
- Scientific Programming and Computer Architecture
Link: https://mitpress.mit.edu/books/scientific-programming-and-computer-architecture
- Reinforcement Learning, Second Edition
Link: https://mitpress.mit.edu/books/reinforcement-learning-second-edition
- Machine Learning for Data Streams
Link: https://mitpress.mit.edu/books/machine-learning-data-streams
- Deep Learning, By Ian Goodfellow, Yoshua Bengio and Aaron Courville
Link: https://mitpress.mit.edu/books/deep-learning
- Elements of Causal Inference, Foundations and Learning Algorithms
Link: https://mitpress.mit.edu/books/elements-causal-inference
- Actual Causality
Link: https://mitpress.mit.edu/books/actual-causality
- The Art of Insight in Science and Engineering, Mastering Complexity
Link: https://mitpress.mit.edu/books/art-insight-science-and-engineering
PACKT
- Python Machine Learning By Example
- Artificial Intelligence for Big Data
- Hands-On Natural Language Processing with Python
- Big Data Analytics with Hadoop 3
- Mastering OpenCV 4 – Third Edition
O REILLY
- Think Stats
link: http://greenteapress.com/thinkstats/html/index.html
- Python Data Science Handbook
link: https://jakevdp.github.io/PythonDataScienceHandbook/
- R para ciencia de datos, en español
link: https://es.r4ds.hadley.nz/
- Think Bayes