R Machine Learning Projects. Implement supervised, unsupervised, and reinforcement learning techniques using R 3.5

Dr. Sunil Kumar Chinnamgari

R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms

Nathan H. Danneman, Richard Heimann, Pradeepta Mishra, Bater Makhabel

R Object-oriented Programming. A practical guide to help you learn and understand the programming techniques necessary to exploit the full power of R

Kelly Black

R: Predictive Analysis. Master the art of predictive modeling

Eric Mayor, Tony Fischetti, Rui Miguel Forte

R Programming By Example. Practical, hands-on projects to help you get started with R

Omar Trejo Navarro

R Programming Fundamentals. Deal with data using various modeling techniques

Kaelen Medeiros

R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text

Shanthi Viswanathan, Atmajitsinh Gohil, Viswa Viswanathan, Yu-Wei, ...

R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5

Francisco Juretig

R: Unleash Machine Learning Techniques. Smarter data analytics

Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali

R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites

Olgun Aydin

RabbitMQ Cookbook. Knowing a reliable enterprise messaging system based on the AMQP standard can be an essential for today's software developers. This cookbook helps you learn all the basics of RabbitMQ through recipes, code, and real-life examples

Gabriele Santomaggio, Sigismondo Boschi

RabbitMQ Essentials. Build distributed and scalable applications with message queuing using RabbitMQ - Second Edition

Lovisa Johansson, David Dossot

RabbitMQ Essentials. Hop straight into developing your own messaging applications by learning how to utilize RabbitMQ

David Dossot

Rabbits

Terry Miles

Racekadotryl w leczeniu ostrej biegunki u dzieci: co mówią dane naukowe?

Hanna Szajewska

Rachab Kobieta wiary Rodowód łaski cz.2

Francine Rivers