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Modern Data Mining with Python: A risk-managed approach to developing  eBooks & eLearning

Posted by Free butterfly at Aug. 1, 2024
Modern Data Mining with Python: A risk-managed approach to developing

Modern Data Mining with Python: A risk-managed approach to developing and deploying explainable and efficient algorithms using ModelOps (English Edition) by Dushyant Singh Sengar, Vikash Chandra
English | February 26, 2024 | ISBN: 9355519141 | 438 pages | MOBI | 9.67 Mb
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Modern Data Mining with Python  eBooks & eLearning

Posted by First1 at May 4, 2024
Modern Data Mining with Python

Modern Data Mining with Python: A Risk-Managed Approach to Developing and Deploying Explainable and Efficient Algorithms Using Modelops by Dushyant Singh Sengar, Vikash Chandra
English | February 29th, 2024 | ISBN: 9355519141 | 438 pages | True EPUB | 19.97 MB

"Modern Data Mining with Python" is a guidebook for responsibly implementing data mining techniques that involve collecting, storing, and analyzing large amounts of structured and unstructured data to extract useful insights and patterns.
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Modern Data Mining Algorithms in C++ and CUDA C  eBooks & eLearning

Posted by roxul at June 5, 2020
Modern Data Mining Algorithms in C++ and CUDA C

Timothy Masters, "Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science"
English | ISBN: 1484259874 | 2020 | 237 pages | EPUB, PDF | 1244 KB + 2 MB
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Modern Data Mining Algorithms in C++ and CUDA C  eBooks & eLearning

Posted by Free butterfly at April 11, 2023
Modern Data Mining Algorithms in C++ and CUDA C

Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science by Timothy Masters
English | June 6, 2020 | ISBN: 1484259874 | 237 pages | MOBI | 1.71 Mb
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Biometric Identification Technologies Based on Modern Data Mining Methods  eBooks & eLearning

Posted by roxul at Dec. 3, 2020
Biometric Identification Technologies Based on Modern Data Mining Methods

Stepan Bilan, "Biometric Identification Technologies Based on Modern Data Mining Methods"
English | ISBN: 3030483770 | 2021 | 200 pages | PDF | 10 MB
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Applied Data Mining for Business Analytics  eBooks & eLearning

Posted by naag at April 25, 2017
Applied Data Mining for Business Analytics

Applied Data Mining for Business Analytics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 8.90 GB
Genre: eLearning | Language: English
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Applied Data Mining with Weka: Definitive Reference for Developers and Engineers  eBooks & eLearning

Posted by naag at July 4, 2025
Applied Data Mining with Weka: Definitive Reference for Developers and Engineers

Applied Data Mining with Weka: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FFK5ZNFY | 258 pages | EPUB (True) | 2.40 MB
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Data mining and medical knowledge management: cases and applications  eBooks & eLearning

Posted by insetes at April 11, 2021
Data mining and medical knowledge management: cases and applications

Data mining and medical knowledge management: cases and applications By Petr Berka, Jan Rauch, Djamel Abdelkader Zighed, Petr Berka, Jan Rauch, Djamel Abdelkader Zighed
2009 | 465 Pages | ISBN: 1605662186 | PDF | 12 MB
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Data Mining and Medical Knowledge Management  eBooks & eLearning

Posted by Free butterfly at March 29, 2016
Data Mining and Medical Knowledge Management

Data Mining and Medical Knowledge Management: Cases and Applications by Petr Berka
English | 28 Feb. 2009 | ISBN: 1605662186 | 467 Pages | PDF | 11 MB

The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment.
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Pocket Data Mining: Big Data on Small Devices [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 7, 2014
Pocket Data Mining: Big Data on Small Devices [Repost]

Mohamed Medhat Gaber, ‎Frederic Stahl, ‎Joao Bártolo Gomes - Pocket Data Mining: Big Data on Small Devices
Published: 2013-10-28 | ISBN: 3319027107 | PDF | 100 pages | 3 MB
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