1
Introduction to Data Science [E-Book] : A Python Approach to Concepts, Techniques and Applications /
2
A Course in Natural Language Processing [E-Book] /
Table of Contents: ...Preface -- 1. Introduction -- Part I. Linguistics -- 2. Phonetics/Phonology -- 3. Graphetics/Graphemics -- 4. Morphemes, Words, Terms -- 5. Syntax -- 6. Semantics (and Pragmatics) -- 7. Controlled Natural Languages -- Part II. Mathematical Tools -- 8...

Full text 
3
Hyperparameter Tuning for Machine and Deep Learning with R [E-Book] : A Practical Guide /
4
Concise Guide to Quantum Machine Learning [E-Book] /
5
WAIC and WBIC with R Stan [E-Book] : 100 Exercises for Building Logic /
Table of Contents: ...Over view of Watanabe's Bayes -- Introduction to Watanabe Bayesian Theory -- MCMC and Stan -- Mathematical Preparation -- Regular Statistical Models -- Information Criteria -- Algebraic Geometry -- The Essence of WAOIC -- WBIC and Its Application...

Full text 
6
Optimization for data analysis [E-Book] /
Subject (ZB): ...Mathematical optimization....

Full text 
7
Computational Intelligence [E-Book] : A Methodological Introduction /
Table of Contents: ...Introduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical...

Full text 
8
Quantum Computing in the Arts and Humanities [E-Book] : An Introduction to Core Concepts, Theory and Applications /
9
Sparse Estimation with Math and Python [E-Book] : 100 Exercises for Building Logic  /
10
Statistical Learning with Math and Python [E-Book] : 100 Exercises for Building Logic /
11
An Introduction to Machine Learning [E-Book] /
Subject (ZB): ...Mathematical statistics....

Full text 
12
Sparse Estimation with Math and R [E-Book] : 100 Exercises for Building Logic /