| |
Title |
Authors/Editors |
Publisher |
Type |
Copies |
 |
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
|
|
The MIT Press |
Books |
1 |
 |
Entropy and Information Theory
|
|
Springer |
Books |
1 |
 |
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable,
|
|
Shroff/O'Reilly; First edition |
Books |
1 |
 |
Hadoop: The Definitive Guide
|
|
|
Books |
1 |
 |
Matrix Methods in Data Mining and Pattern Recognition (Fundamentals of Algorithms)
|
|
Society for Industrial and Applied Mathematics |
Books |
1 |
 |
Learning Scala
|
|
Shroff Publishers & Distributers Private Limited |
Books |
1 |
 |
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
|
|
Springer |
Books |
1 |
 |
Precision: Principles, Practices And Solutions For The Internet Of Things
|
|
McGraw Hall India |
Books |
1 |
 |
Learning ELK Stack
|
|
Packt Publishing |
Books |
1 |
 |
Introduction to Probability, 2nd Edition
|
|
Athena Scientific |
Books |
1 |
