Tag: Data

Starus Data Restore Pack 4.8 Multilingual


Free Download Starus Data Restore Pack 4.8 Multilingual All Editions | 95.8 Mb
Starus Data Restore Pack combining two of the best data restore software products into a single value-priced package. The Data Restore Pack is offered at a significant discount compared to the combined sale price of Starus File Recovery and Photo Recovery tools.

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East Imperial Magic Data Recovery Pack 4.8 Multilingual


Free Download East Imperial Magic Data Recovery Pack 4.8 Multilingual All Editions | 58 Mb
Magic Data Recovery Pack offers quick, easy and powerful data recovery capabilities in a convenient package. Offering the ability to recover data from healthy, damaged, corrupted and repartitioned disks, deleted and formatted partitions, crashed and inaccessible hard drives, Magic Data Recovery Pack helps recovering documents, compressed archives, and many other types of data in just a few clicks. The included photo recovery tool allows recovering digital pictures directly from the memory of most digital cameras.

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RS Data Recovery 4.8 Multilingual


Free Download RS Data Recovery 4.8 Multilingual All Editions | 108.3 Mb
RS Data Recovery makes data recovery easy for everyone. Combining two useful tools in one convenient package, RS Data Recovery can undelete all types of data while offering dedicated support for picture recovery. RS Data Recovery is extremely easy to use by using a convenient step-by-step wizard. The available pre-recovery preview instantly displays deleted files and documents, allowing you to estimate whether or not a particular document or picture is worth recovering.

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Introduction to Data Science A Python Approach to Concepts, Techniques and Applications


Free Download Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science) by Laura Igual, Santi SeguĆ­, Jordi VitriĆ 
English | April 13, 2024 | ISBN: 3031489551 | 260 pages | MOBI | 40 Mb
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis.

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