Books — clustering

EN
Fundamentals of Data Science: Theory and Practice

Fundamentals of Data Science: Theory and Practice

A

Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy

AI and ML
EN
Data Mining: The Textbook

Data Mining: The Textbook

A

Charu C. Aggarwal

AI and ML
EN
Data Mining Algorithms: Explained Using R

Data Mining Algorithms: Explained Using R

A

Paweł Cichosz

AI and ML
EN
Learning Data Mining with R

Learning Data Mining with R

B

Bater Makhabel

AI and ML
EN
Learning Data Mining with Python

Learning Data Mining with Python

A

Robert Layton

AI and ML
EN
Data Mining with R: Learning with Case Studies, Second Edition

Data Mining with R: Learning with Case Studies, Second Edition

A

Luís Torgo

AI and ML
EN
RabbitMQ in Depth

RabbitMQ in Depth

A

Gavin M. Roy

DevOps and Infrastructure
EN
Advanced Algorithms and Data Structures

Advanced Algorithms and Data Structures

A

Marcello La Rocca

Algorithms and theory
EN
Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

A

Srikrishnan Sundararajan

AI and ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI and ML
RU
Programming Collective Intelligence

Programming Collective Intelligence

A

Тоби Сегаран

AI and ML
RU
R Cookbook: Proven Recipes for Statistics, Data Analysis, and Visualization

R Cookbook: Proven Recipes for Statistics, Data Analysis, and Visualization

A

Дж. Д. Лонг, Пол Титор

Algorithms and theory