Tag: R

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R-Studio Emergency Network 9.5 Build 0806 Multilingual | Size: 142.16 MB
Language: English

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R-Studio 9.5 Build 191802 Technician (x64) Multilingual WinPE | Size: 481.62 MB
Language: English

Empowered by the new unique data recovery technologies, R-Studio is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, ReFS, FAT12/16/32, exFAT, HFS/HFS+ and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux) partitions. It also uses raw file recovery (scan for known file types) for heavily damaged or unknown file systems. It functions on local and network disks, even if such partitions are formatted, damaged or deleted. Flexible parameter settings give you absolute control over data recovery.
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R-Studio 9.5 Build 191802 Network / Technician Multilingual | Size: 140.45 MB
Language: English

Empowered by the new unique data recovery technologies, R-Studio is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, ReFS, FAT12/16/32, exFAT, HFS/HFS+ and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux) partitions. It also uses raw file recovery (scan for known file types) for heavily damaged or unknown file systems. It functions on local and network disks, even if such partitions are formatted, damaged or deleted. Flexible parameter settings give you absolute control over data recovery.
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R-Studio Agent 9.5 Build 1700 | Size: 3.27 MB
Language: English

R-Studio Agent is a handy and reliable utility that works together with R-Studio and creates remote connections over the network in order to recover files. The principle of R-Studio Agent is very simple: it runs on the victim computer (the one that you’d like to recover files from), while R-Studio is deployed on another computer and perform the actual recovery.
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Data Science Essentials with R Learn with focus on data manipulation, visualization, and machine learning | 5.39 MB

Title: Data Science Essentials with R: Learn with focus on data manipulation, visualization, and machine learning
Author: Das, Abhishek
Category: Nonfiction, Computers, Advanced Computing, Artificial Intelligence
Language: English | 269 Pages | ISBN: 9365895294

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