Books > Subjects > Science & Math > Mathematics > Applied > Stochastic Modeling
R 1,300
The Model Thinker: What You Need to Know to Make Data Work for You
POR
Physical (A)Causality: Determinism, Randomness and Uncaused Events (Fundamental Theories of Physics Book 192)
POR
Decision Making under Deep Uncertainty: From Theory to Practice
R 2,383
Introduction to Probability (Cambridge Mathematical Textbooks)
R 815
An Introduction to Stochastic Processes in Physics: Containing "On the Theory of Brownian Motion" by Paul Langevin, Translated by Anthony Gythiel (Johns Hopkins Paperback)
R 1,098
How to Gamble If You Must: Inequalities for Stochastic Processes (Dover Books on Mathematics)
R 2,195
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
R 1,907
The Art of Randomness: Randomized Algorithms in the Real World
R 1,098
Information Theory (Dover Books on Mathematics)
R 1,414
Doing Data Science: Straight Talk from the Frontline
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