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Henne
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Machine Learning for the Pure Mathematician
(20 Books)
1
Algebraic Geometry and Statistical Learning Theory (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
by
Sumio Watanabe
4.38 avg rating — 13 ratings
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2
Geometric Modeling in Probability and Statistics
by
Ovidiu Calin
4.50 avg rating — 2 ratings
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3
Information Geometry (Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge / A Series of Modern Surveys in Mathematics) (v. 64)
by
Nihat Ay
really liked it
4.00 avg rating — 1 rating
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4
Foundations of Data Science
by
Avrim Blum
4.24 avg rating — 25 ratings
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5
Geometric Data Analysis: From Correspondence Analysis to Structured Data Analysis
by
Brigitte Le Roux
4.50 avg rating — 2 ratings
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6
Foundations of Machine Learning
by
Mehryar Mohri
4.22 avg rating — 95 ratings
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7
Kernel Methods for Pattern Analysis
by
John Shawe-Taylor
really liked it
4.00 avg rating — 29 ratings
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8
Handbook of Practical Logic and Automated Reasoning
by
John E. Harrison
3.87 avg rating — 15 ratings
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9
An Introduction to Description Logic
by
Franz Baader
4.50 avg rating — 10 ratings
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10
Algorithms for Reinforcement Learning
by
Csaba Szepesvari
4.04 avg rating — 27 ratings
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11
Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics)
by
Martin L. Puterman
4.47 avg rating — 17 ratings
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12
Fuzzy Set Theory―and Its Applications
by
Hans-Jürgen Zimmermann
4.30 avg rating — 10 ratings
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13
Dynamic Programming And Optimal Control, Vol. 1
by
Dimitri P. Bertsekas
4.36 avg rating — 33 ratings
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14
Dynamic Programming and Optimal Control, Vol. 2
by
Dimitri P. Bertsekas
4.19 avg rating — 21 ratings
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15
The Nature of Statistical Learning Theory
by
Vladimir N. Vapnik
4.29 avg rating — 35 ratings
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16
The Minimum Description Length Principle
by
Peter D. Grünwald
4.08 avg rating — 12 ratings
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17
Fundamentals of Nonparametric Bayesian Inference (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 44)
by
Subhashis Ghosal
4.33 avg rating — 3 ratings
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18
Data Science for Mathematicians
by
Nathan Carter
(Editor)
really liked it
4.00 avg rating — 1 rating
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19
Principal Component Analysis (Springer Series in Statistics)
by
Ian T. Jolliffe
4.27 avg rating — 15 ratings
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20
Unsupervised Learning: Foundations of Neural Computation
by
Geoffrey Hinton
(Editor)
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4.00 avg rating — 18 ratings
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Other Lists Henne voted on
Vintage Classics Japanese Series
5 books — 1 voter
Pre-entry reading for BA Japanese at SOAS
8 books — 2 voters
Brian Eno's Selected Books for the Manual for Civilization
20 books — 1 voter
At the Interface of Algebra and Statistics: Quantum Physics, Machine Learning, and Category Theory
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