Books like Probability for Deep Learning Quantum A Many-Sorted Algebra View

#1

High Performance Discovery In Time Series Techniques and Case Studies

Dennis Elliott Shasha

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#2

Genetic Programming Theory and Practice III

Tina Yu

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#3

Data Complexity in Pattern Recognition

Mitra Basu

Themes: Stochastic Processes • Artificial Intelligence • Probability & Statistics

#4

Assessing and Improving Prediction and Classification Theory and Algorithms in C++

Timothy Masters

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#5

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

Uffe B. Kjærulff

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#6

Information Algebras Generic Structures For Inference

Jürg Kohlas

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#7

Optimization by GRASP Greedy Randomized Adaptive Search Procedures

Mauricio G.C. Resende

Themes: Discrete Mathematics • Stochastic Processes • Artificial Intelligence

#8

An Introduction to Queueing Theory and Matrix-Analytic Methods

L. Breuer

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#9

Fuzzy Control of Queuing Systems

Runtong Zhang

Themes: Stochastic Processes • Artificial Intelligence • Probability & Statistics

#10

Algorithms for Large Scale Linear Algebraic Systems: Applications in Science and Engineering

Gabriel Winter Althaus

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#11

Robust Technology with Analysis of Interference in Signal Processing

T. A. Aliev

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#12

Nonblocking Electronic and Photonic Switching Fabrics

Wojciech Kabacinski

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#13

Modern Graph Theory

Béla Bollobás

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#14

Modeling Languages in Mathematical Optimization

Josef Kallrath

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#15

Mathematical Computation with Maple V: Ideas and Applications Proceedings of the Maple Summer Workshop and Symposium, University of Michigan, Ann Arbor, June 28–30, 1993

Thomas Lee

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#16

The Algorithm Design Manual

Steven S. Skiena

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#17

How to Create a Mind The Secret of Human Thought Revealed

Ray Kurzweil

Themes: Discrete Mathematics • Artificial Intelligence • Software Development & Engineering

#18

Data Mining and Decision Support Integration and Collaboration

Dunja Mladenic

Themes: Artificial Intelligence • Probability & Statistics • Software Development & Engineering

#19

Industry 4.0, AI, and Data Science Research Trends and Challenges

Vikram Bali

Themes: Discrete Mathematics • Artificial Intelligence • Probability & Statistics

#20

Optimized Bayesian Dynamic Advising Theory and Algorithms

Miroslav Karny

Themes: Discrete Mathematics • Artificial Intelligence • Probability & Statistics

#21

Combinatorial Designs Construction and Analysis

Douglas R. Stinson

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#22

Space, Structure and Randomness Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology

Michel Bilodeau

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#23

Maximum Entropy and Bayesian Methods Garching, Germany 1998 Proceedings of the 18th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis

Wolfgang von der Linden

Themes: Discrete Mathematics • Stochastic Processes • Probability & Statistics

#24

Practical Smoothing The Joys of P-splines

Paul H.C. Eilers

Themes: Discrete Mathematics • Artificial Intelligence • Probability & Statistics