Big data

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

Olgun Aydin

RAG from First Principles. Engineering retrieval-augmented generation systems with Python, LangChain, and LlamaIndex

Jia Huang

Rapid - Apache Mahout Clustering designs. Explore clustering algorithms used with Apache Mahout

Ashish Gupta

Raportowanie w System Center Configuration Manager Bez tajemnic

Garth Jones, Dan Toll, Kerrie Meyler

Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring

Rivu Chakraborty

Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time

Shilpi Saxena

Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow

Simeon Kostadinov