Explore tweets tagged as #supervisedmachinelearning
@RemoteSens_MDPI
Remote Sensing MDPI
3 years
#mostcited ๐Ÿ“ข Effects of Training Set Size on #SupervisedMachineLearning #LandCoverClassification of Large-Area #HighResolution #RemotelySensedData by Christopher Ramezan, Timothy A. Warner, Aaron E. Maxwell and Bradley S. Price ๐Ÿ”— Read the full article: https://t.co/1cSiwVHpSI
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@sabyasachi_uni
Sabyasachi Mukhopadhyay
1 year
@sabyasachi_uni
Sabyasachi Mukhopadhyay
1 year
Thanks to UEM Kolkata for inviting me to deliver a distinguished talk on Supervised ML using R at upcoming online ATAL AICTE-FDP, "Advanced Computational Techniques in ML: A Comprehensive Faculty Development Program Utilizing R Software," to be held from Nov 25 to 30, 2024.
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@Bhavana83491661
Bhavana S Singh
3 years
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@Bhavana83491661
Bhavana S Singh
3 years
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@WILAcademy
Win in Life Academy
3 years
The following are the steps involved in supervised learning. For any queries on the Data analyst & Data Science course Apply Now: ๐ŸŒ https://t.co/8rW1xnFKsB Contact us: ๐Ÿ“ž 9035613728, 8904229202 #machinelearning #supervisedmachinelearning #python #datascience @WILAcademy
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@WILAcademy
Win in Life Academy
3 years
Supervised Machine Learning For any queries on the Data analytics & Data Science course Apply Now: ๐ŸŒ https://t.co/8rW1xnFKsB Contact us: ๐Ÿ“ž9035613728, 8904229202 #supervisedmachinelearning #programming #code #machinelearning #DataScience #wininlifeacademy @WILAcademy
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@sabyasachi_uni
Sabyasachi Mukhopadhyay
9 months
A glimpse of my #handsonsession on #SupervisedMachineLearning Part-2 (Decision Trees, Random Forest, Linear and Logistics Regression) on the eve of Day-6 (March 22) of #HAAI #Cohort3 at #IITKGP. #AI #DipyamanBanerjee #ProfPrabirKumarBiswas #SabyasachiMukhopadhyay @IITKgp
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@sabyasachi_uni
Sabyasachi Mukhopadhyay
2 years
My 1st & 2nd hands-on sessions on #SupervisedMachineLearning on the eve of Hands-on Approach to #AI for Real-World Applications (#HAAI), an #onlinecertificationprogram,were organized by the #AI4ICPS & #TCSiON on September 23 and 30, respectively. #SabyasachiMukhopadhyay @IITKgp
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@annals_csis
Annals of Computer Science and Information Systems
4 months
Comparing and contrasting several machine learning (#ML) methods #fak newsdetection: โ€œFake News Identification Using #SupervisedMachineLearning Algorithmsโ€œ by MN Rabbani, A. Wahid, F. Rasheed. ACSIS Vol. 38 p. 57โ€“61; https://t.co/xrXDpwrpjf
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@chemosens_MDPI
Chemosensors MDPI
2 months
#Review Spectroscopy-Based Methods and Supervised Machine Learning Applications for Milk Chemical Analysis in Dairy Ruminants by Aikaterini-Artemis Agiomavriti, et al. https://t.co/xKJ3WfEc7u @MDPIOpenAccess #milkanalysis #dairyruminants #spectroscopy #supervisedmachinelearning
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