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Introduction to Probability for Computing
Introduction to Probability for Computing
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Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
Probability and Computing: Randomization and Probabilistic Techniques in Algorithms and Data Analysis
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Probability, Statistics, and Discrete Math in Lua: Distributions, Sampling, Graph Theory, and Algorithmic Logic (Mastering Lua for Mathematical Computing : A 6-Book Series)
Probability, Statistics, and Discrete Math in Lua: Distributions, Sampling, Graph Theory, and Algorithmic Logic (Mastering Lua for Mathematical Computing : A 6-Book Series)
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Mathematical Foundations and Python for Algorithms: Discrete Math, Probability, Asymptotics, and Python (OOP, Problem-Solving) (Algorithm Mastery: From Foundations to Cutting-Edge Computing)
Mathematical Foundations and Python for Algorithms: Discrete Math, Probability, Asymptotics, and Python (OOP, Problem-Solving) (Algorithm Mastery: From Foundations to Cutting-Edge Computing)
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Probability, Statistics, and Discrete Math in Lua: Distributions, Sampling, Graph Theory, and Algorithmic Logic: 4 (Mastering Lua for Mathematical Computing : A 6-Book Series)
Probability, Statistics, and Discrete Math in Lua: Distributions, Sampling, Graph Theory, and Algorithmic Logic: 4 (Mastering Lua for Mathematical Computing : A 6-Book Series)
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Mathematical Foundations and Python for Algorithms: Discrete Math, Probability, Asymptotics, and Python (OOP, Problem-Solving): 1 (Algorithm Mastery: From Foundations to Cutting-Edge Computing)
Mathematical Foundations and Python for Algorithms: Discrete Math, Probability, Asymptotics, and Python (OOP, Problem-Solving): 1 (Algorithm Mastery: From Foundations to Cutting-Edge Computing)
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An Introduction to Statistical Computing: A Simulation-based Approach (Wiley Series in Computational Statistics)
An Introduction to Statistical Computing: A Simulation-based Approach (Wiley Series in Computational Statistics)
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Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability
Probabilistic Deep Learning: With Python, Keras and Tensorflow Probability
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Numerical Recipes in FORTRAN 77: Volume 1, Volume 1 of Fortran Numerical Recipes: The Art of Scientific Computing
Numerical Recipes in FORTRAN 77: Volume 1, Volume 1 of Fortran Numerical Recipes: The Art of Scientific Computing
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Introduction to Probability for Data Science
Introduction to Probability for Data Science
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Numerical Recipes in C: The Art of Scientific Computing (Numerical Recipes in C book set)
Numerical Recipes in C: The Art of Scientific Computing (Numerical Recipes in C book set)
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Numerical Recipes in Fortran Example Book: The Art Of Scientific Computing
Numerical Recipes in Fortran Example Book: The Art Of Scientific Computing
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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, ... (Lecture Notes in Computer Science, 7070)
Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence: Papers from the Ray Solomonoff 85th Memorial Conference, ... (Lecture Notes in Computer Science, 7070)
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Mathematical Foundations of Quantum Computing: A Scaffolding Approach
Mathematical Foundations of Quantum Computing: A Scaffolding Approach
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Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing: 21 (Wiley Series in Discrete Mathematics & Optimization)
Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing: 21 (Wiley Series in Discrete Mathematics & Optimization)
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Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes: The Art of Parallel Scientific Computing
Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes: The Art of Parallel Scientific Computing
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High-Performance Computing in Finance: Problems, Methods, and Solutions (Chapman and Hall/CRC Financial Mathematics Series)
High-Performance Computing in Finance: Problems, Methods, and Solutions (Chapman and Hall/CRC Financial Mathematics Series)
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Mathematical Foundations of Quantum Computing: A Scaffolding Approach (The Scaffolding Series)
Mathematical Foundations of Quantum Computing: A Scaffolding Approach (The Scaffolding Series)
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Heuristics, Probability and Causality. A Tribute to Judea Pearl (Tributes)
Heuristics, Probability and Causality. A Tribute to Judea Pearl (Tributes)
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Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)
Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)
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A Gentle Introduction to Scientific Computing (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
A Gentle Introduction to Scientific Computing (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
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Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
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Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
Measure Theory and Probability Spaces in Machine Learning With Python (Mastering Machine Learning)
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Truth, Possibility and Probability: New Logical Foundations of Probability and Statistical Inference
Truth, Possibility and Probability: New Logical Foundations of Probability and Statistical Inference
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Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples (Cognitive Technologies)
Quantum Computing from Hopfield Nets: A Textbook with Python Code Examples (Cognitive Technologies)
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Combinatorics, Graph Theory and Computing: SEICCGTC 2023, Boca Raton, USA, March 6-10: 489 (Springer Proceedings in Mathematics & Statistics, 489)
Combinatorics, Graph Theory and Computing: SEICCGTC 2023, Boca Raton, USA, March 6-10: 489 (Springer Proceedings in Mathematics & Statistics, 489)
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Introductory Statistics with R (Statistics and Computing)
Introductory Statistics with R (Statistics and Computing)
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Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
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Modern Applied Statistics with S (Statistics and Computing)
Modern Applied Statistics with S (Statistics and Computing)
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Software for Data Analysis: Programming with R (Statistics and Computing)
Software for Data Analysis: Programming with R (Statistics and Computing)
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Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
Applied Time Series Analysis and Forecasting with Python (Statistics and Computing)
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Automatic Nonuniform Random Variate Generation (Statistics and Computing)
Automatic Nonuniform Random Variate Generation (Statistics and Computing)
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R for SAS and SPSS Users (Statistics and Computing)
R for SAS and SPSS Users (Statistics and Computing)
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Object Oriented Data Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Object Oriented Data Analysis (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing)
Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing)
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Applied Quantitative Finance (Statistics and Computing)
Applied Quantitative Finance (Statistics and Computing)
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Introductory Statistics with R (Statistics and Computing)
Introductory Statistics with R (Statistics and Computing)
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Numerical Analysis for Statisticians (Statistics and Computing)
Numerical Analysis for Statisticians (Statistics and Computing)
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An Introduction to Categorical Data Analysis, 3rd Edition (Wiley Series in Probability and Statistics)
An Introduction to Categorical Data Analysis, 3rd Edition (Wiley Series in Probability and Statistics)
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Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
Numerical Bayesian Methods Applied to Signal Processing (Statistics and Computing)
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