Probablemente ya hayas visto que Springer lanzó unos 500 libros gratis después de la pandemia de COVID-19. Según Springer, estos libros estarán disponibles de forma gratuita hasta al menos finales de julio.

Aquí te compartimos algunos libros sobre ciencia de datos no solo de Springer, sino también de MIT Press y O Relly

Springer

• Statistical Learning from a Regression Perspective

link: https://link.springer.com/book/10.1007/978-3-319-44048-4

• Python Machine Learning By Example

link: https://www.packtpub.com/free-ebooks/big-data-and-business-intelligence/python-machine-learning-example/9781783553112

• Regression Modeling Strategies – Ejercicios en R

link: https://link.springer.com/book/10.1007/978-3-319-19425-7

• Probability and Statistics for Computer Science

link: https://link.springer.com/book/10.1007/978-3-319-64410-3

• Introduction to Time Series and Forecasting

link: https://link.springer.com/book/10.1007/978-3-319-29854-2

• Understanding Statistics and Experimental Design

link: https://link.springer.com/book/10.1007/978-3-030-03499-3

• An Introduction to Machine Learning

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-engineeringP

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/

Y tú, ¿cuáles libros vas a descargar?

Referencias:
http://springer.com/
http://se-eec.org/