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