10 JUL 2026 - Back up to full speed! Let's be honest: for the last few months, TorrentFunk was painfully slow. Pages crawled, searches dragged, and just loading the site tested everyone's patience. We hunted the problem down to our network and rebuilt it from the ground up — smarter caching, a much bigger and faster connection, and a lot of fine-tuning under the hood. The difference is night and day: the site now loads in a fraction of a second. No more waiting around. Thanks for sticking with us through the slow spell. Now go discover your funk!
TORRENT DETAILS
[NulledPremium.com] Machine Learning Paradigms
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
For More Content Visit NulledPremium >>> NulledPremium.com
For More Premium Graphics,Accounts,Freebies Visit >>> Forum.NulledPremium.com
Book details File Size: 12.77 MB Format: pdf Print Length: 370 pages Publisher: Springer; 1st ed. 2019 edition (July 3, 2018) Publication Date: July 3, 2018 Sold by: Amazon Digital Services LLC Language: English ASIN: B07F7V67Y5
This book presents recent machine learning paradigms and advances in learning analytics, an emerging research discipline concerned with the collection, advanced processing, and extraction of useful information from both educators’ and learners’ data with the goal of improving education and learning systems. In this context, internationally respected researchers present various aspects of learning analytics and selected application areas, including:
• Using learning analytics to measure student engagement, to quantify the learning experience and to facilitate self-regulation;
• Using learning analytics to predict student performance;
• Using learning analytics to create learning materials and educational courses; and
• Using learning analytics as a tool to support learners and educators in synchronous and asynchronous eLearning.
The book offers a valuable asset for professors, researchers, scientists, engineers and students of all disciplines. Extensive bibliographies at the end of each chapter guide readers to probe further into their application areas of interest.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
Machine Learning Paradigms(2019).pdf
12.8 MB
Websites you may like/How you can help Team-FTU.txt