Видавець: Packt Publishing

R Deep Learning Projects. Master the techniques to design and develop neural network models in R

Yuxi (Hayden) Liu, Pablo Maldonado

R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques

Yu-Wei, Chiu (David Chiu)

R for Data Science. Learn and explore the fundamentals of data science with R

Dan Toomey

R Graph Essentials

David Lillis, David A Lillis

R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs

Jaynal Abedin, Jaynal Abedin, Hrishi Mittal

R High Performance Programming. Overcome performance difficulties in R with a range of exciting techniques and solutions

Aloysius Shao Qin Lim, Tjhi W Chandra,...

R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

Dipanjan Sarkar, Raghav Bali

R Machine Learning Essentials. Gain quick access to the machine learning concepts and practical applications using the R development environment

Michele Usuelli

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,...

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...

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

RAG-Driven Generative AI. Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone

Denis Rothman

Rake Task Management Essentials. Deploy, test, and build software to solve real-world automation challenges using Rake

Andrey Koleshko

Rancher Deep Dive. Manage enterprise Kubernetes seamlessly with Rancher

Matthew Mattox