1
Deep learning : a visual approach /
Book
Table of Contents 
2
Electron microscopy and analysis /
Book
3
Elementary dislocation theory /
Book
Table of Contents 
4
Handbook of discrete and computational geometry /
Book
5
How to be FAIR with your data : a teaching and training handbook for higher education institutions /
Book
6
Introduction to algorithms /
Book
Table of Contents 
7
Introduction to probability, statistics, and random processes /
Book
8
Learning SPARQL : querying and updating with SOARQL 1.1 /
Book
9
Math for deep learning : what you need to know to understand neural networks /
Book
10
Physical principles of electron microscopy : an introduction to TEM, SEM, and AEM /
Book
11
Practical deep learning : a Python-based introduction /
Book
12
Resampling methods : a practical guide to data analysis /
Book
13
A student's guide to Bayesian statistics /
Book
Table of Contents 
14
Student's solutions guide for introduction to probability, statistics, and random processes /
Book