Аналіз даних

R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition

Kuntal Ganguly, Shanthi Viswanathan, Viswa Viswanathan

R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data

Gopi Subramanian

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets

Andrea Cirillo

R Data Science Essentials. R Data Science Essentials

Raja B. Koushik, Sharan Kumar Ravindran

R Data Visualization Cookbook. Over 80 recipes to analyze data and create stunning visualizations with R

Atmajitsinh Gohil, Atmajitsingh Gohil

R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making

Vitor Bianchi Lanzetta

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

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

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

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 Analytics with Storm and Cassandra. Solve real-time analytics problems effectively using Storm and Cassandra

Shilpi Saxena

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

Sumit Gupta, Shilpi Saxena

Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash

Alexander Leibzon, Yael Leibzon

Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data

Luca Massaron, Alberto Boschetti

Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale

Giuseppe Ciaburro