Видавець: 16

R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition

Mark Hodnett, Joshua F. Wiley

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

Prabhanjan Narayanachar Tattar, Yu-Wei, Chiu (David Chiu)

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

Toomey

R Graph Essentials

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

Jaynal Abedin, Hrishi V. 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 i pakiet shiny. Kurs video. Interaktywne aplikacje w analizie danych

Alicja Wolny-Dominiak

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

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

Richard Heimann, Nathan H. Danneman, 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

Tony Fischetti, Eric Mayor

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. Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning

Yu-Wei, Chiu (David Chiu), Atmajitsinh Gohil, Shanthi...

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

Dipanjan Sarkar, Brett Lantz, Raghav Bali, Cory...

R w naukach społecznych

Arkadiusz Kołodziej

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

Sigismondo Boschi, Gabriele Santomaggio

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