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
- 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/
