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References from:
Deisenroth, Marc Peter, A. Aldo Faisal and Cheng Soon Ong. Mathematics for Machine Learning. Cambridge University Press, 2020.
The book is made freely available by the authors at:
https://mml-book.com
Deisenroth, Marc Peter, A. Aldo Faisal and Cheng Soon Ong. Mathematics for Machine Learning. Cambridge University Press, 2020.
The book is made freely available by the authors at:
https://mml-book.com
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| 103 |
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| 104 |
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| 104 |
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| 106 |
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| 107 |
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Real Analysis and Probability (Cambridge Studies in Advanced Mathematics, Series Number 74)
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| 107 |
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Optimization and Its Applications in Control and Data Sciences: In Honor of Boris T. Polyak’s 80th Birthday (Springer Optimization and Its Applications, 115)
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| 109 |
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Multivariate Statistics: A Vector Space Approach (Wiley Series in Probability and Statistics)
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| 110 |
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| 111 |
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| 111 |
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A First Course in Machine Learning
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| 113 |
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Markov Chain Monte Carlo in Practice
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W.R. Gilks (Editor)
3.70 avg rating — 23 ratings
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| 114 |
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Traces and Determinants of Linear Operators (Operator Theory: Advances and Applications, 116)
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| 114 |
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Linear Algebra and Matrix Analysis for Statistics
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| 116 |
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| 116 |
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Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
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| 118 |
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Teoria Generale Delle Equazioni, Vol. 1: In Cui Si Dimostra Impossibile la Soluzione Algebraica Delle Equazioni Generali di Grado Superiore al Quarto (Classic Reprint)
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| 119 |
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Theory of Reproducing Kernels and Applications (Developments in Mathematics Book 44)
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| 120 |
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Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
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machine-learning, mathematics
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