Analiza danych

Analiza danych jest ekscytującą dyscypliną, która umożliwia zrozumienie pewnych zjawisk, uzyskanie wglądu i wiedzy na podstawie surowych danych. Pojęcie to oznacza dokładnie przetwarzanie danych za pomocą technik matematycznych i statystycznych w celu uzyskania cennych wniosków, podjęcia ważnych decyzji i opracowania przydatnych produktów. Termin ten wywodzi się od angielskiego data science, często traktowanego jako synonim takich terminów, jak analityka biznesowa, badania operacyjne, business intelligence, wywiad konkurencyjny, analiza i modelowanie danych, a także pozyskiwanie wiedzy. Dzięki takim technologiom, jak języki Python czy R, platformy Hadoop i Spark masz szansę wyciągnąć maksimum wniosków, dostrzec szanse na rozwój swojej organizacji albo przewidzieć i zapobiec zagrożeniom.

siatka lista

R Bioinformatics Cookbook. Use R and Bioconductor to perform RNAseq, genomics, data visualization, and bioinformatic analysis

Dan MacLean

R Bioinformatics Cookbook. Utilize R packages for bioinformatics, genomics, data science, and machine learning - Second Edition

Dan MacLean

R: Data Analysis and Visualization. Master the art of building analytical models using R

Tony Fischetti, Brett Lantz, Hrishi V. Mittal,...

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

Kuntal Ganguly, Davor Lozić, Mzabalazo Z. Ngwenya,...

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

Mark Hodnett, Gopi Subramanian

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

Enrico Pegoraro, 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

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

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

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 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: 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