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Opere etichettate
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- Nonlinear Time Series Analysis with R di Ray Huffaker (1 volte)
- Bayesian models : a statistical primer for ecologists di N. Thompson Hobbs (1 volte)
- Generalized Additive Models: An Introduction with R, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) di Simon N. Wood (1 volte)
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems di Aurélien Géron (1 volte)
- Deep Learning di Ian Goodfellow (1 volte)
- Nonlinear Time Series: Theory, Methods and Applications with R Examples di Randal Douc (1 volte)
- An Introduction to Statistical Learning: with Applications in R di Gareth James (1 volte)
- Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded di Joshua Schimel (1 volte)
- Forest Analytics with R: An Introduction di Andrew P. Robinson (1 volte)
- Mapping Species Distributions: Spatial Inference and Prediction (Ecology, Biodiversity and Conservation) di Janet Franklin (1 volte)
- Analysing Ecological Data di Alain Zuur (1 volte)
- Paleobotany: The Biology and Evolution of Fossil Plants di Thomas N. Taylor (1 volte)
- Game Feel: A Game Designer's Guide to Virtual Sensation (Morgan Kaufmann Game Design Books) di Steve Swink (1 volte)
- Tree Rings and Climate di Harold C. Fritts (1 volte)
- Plate Tectonics: An Insider's History of the Modern Theory of the Earth di Naomi Oreskes (1 volte)
- Restoring the Pacific Northwest: The Art and Science of Ecological Restoration in Cascadia (The Science and Practice of Ecological Restoration Series) di Dean Apostol (1 volte)
- Science in Flux: NASA's Nuclear Program at Plum Brook Station, 1955-2005 di Mark D. Bowles (1 volte)
- Pattern Recognition and Machine Learning di Christopher M. Bishop (1 volte)
- Statistics: An Introduction using R di Michael J. Crawley (1 volte)
- Bayesian Data Analysis di Andrew Gelman (1 volte)
- Planetary Landscapes di Ronald Greeley (1 volte)
- Mineralogy di John Sinkankas (1 volte)
- Biometry: The Principles and Practices of Statistics in Biological Research di Robert R. Sokal (1 volte)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction di Trevor Hastie (1 volte)
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