Forwarded from Deleted Account
Data_security_in_mobile_cloud_computing.pdf
2.3 MB
Forwarded from Deleted Account
Data Miningbook.pdf
6.3 MB
Forwarded from Deleted Account
Data Clustering-Cellular Automata.pdf
695.4 KB
#Data_Clustering
#Cellular_Automata
#Data_Mining
🔴Data clustering using a linear cellular automata-based algorithm
➖Neurocomputing, Volume 114, 19 August 2013, Pages 86–91
@Machine_learn
#Cellular_Automata
#Data_Mining
🔴Data clustering using a linear cellular automata-based algorithm
➖Neurocomputing, Volume 114, 19 August 2013, Pages 86–91
@Machine_learn
Forwarded from Deleted Account
Data Clustering.pdf
1.3 MB
#Data_Clustering
#K_Means
🔴Data clustering: 50 years beyond K-means
➖Pattern Recognition Letters 31 (2010) 651–666
@Machine_learn
#K_Means
🔴Data clustering: 50 years beyond K-means
➖Pattern Recognition Letters 31 (2010) 651–666
@Machine_learn
Forwarded from Deleted Account
Data Mining_Recommender System.pdf
131.7 KB
#Data_Mining
#Recommender_System
🔴The Application of Data-Mining to Recommender Systems
@Machine_learn
#Recommender_System
🔴The Application of Data-Mining to Recommender Systems
@Machine_learn
Forwarded from Deleted Account
Data Mining Methods for Recommender Systems.pdf
481 KB
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D_M_Dziuda_Data_Mining_for_Genomics.pdf
4.5 MB
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Data-mining-in-Large-Databases.pdf
2.1 MB
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Data_security_in_mobile_cloud_computing.pdf
2.3 MB
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Data Miningbook.pdf
6.3 MB
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Data Mining for Business Analytics (en).pdf
13.3 MB
آدرس وب سایت هاس خارجی ارایه دهنده کورس های آموزشی دیتاساینس:
eu.udacity.com
www.coursera.org
www.datacamp.com
www.udemy.com
آدرس موسسات ایرانی ارایه دهنده آموزش های دیتاساینس :
www.tihe.ac.ir
faradars.org
وب سایتی که کورس ها رو بصورت رایگان گذاشته:
bitdownload.ir
#Data_science
@Machine_learn
eu.udacity.com
www.coursera.org
www.datacamp.com
www.udemy.com
آدرس موسسات ایرانی ارایه دهنده آموزش های دیتاساینس :
www.tihe.ac.ir
faradars.org
وب سایتی که کورس ها رو بصورت رایگان گذاشته:
bitdownload.ir
#Data_science
@Machine_learn
AI & Art
@Machine_learn
some artist use the large collections of #data & #ML #algorithms to create mesmerizing & dynamic #installations
watch the video —> https://youtu.be/I-EIVlHvHRM
@Machine_learn
some artist use the large collections of #data & #ML #algorithms to create mesmerizing & dynamic #installations
watch the video —> https://youtu.be/I-EIVlHvHRM
YouTube
How This Guy Uses A.I. to Create Art | Obsessed | WIRED
Artist Refik Anadol doesn't work with paintbrushes or clay. Instead, he uses large collections of data and machine learning algorithms to create mesmerizing and dynamic installations.
Machine Hallucination at Artechouse NYC: https://www.artechouse.com/nyc…
Machine Hallucination at Artechouse NYC: https://www.artechouse.com/nyc…
Build_a_Career_in_Data_Science_by_Emily_Robinson,_Jacqueline_Nolis.pdf
12.3 MB
Build a Career in Data Science
EMILY ROBINSON AND JACQUELINE NOLIS
#Data_Science
#Book
#ML
@Machine_learn
EMILY ROBINSON AND JACQUELINE NOLIS
#Data_Science
#Book
#ML
@Machine_learn
👍1
Data Science Interview (en).pdf
849.5 KB
Book: DATA SCIENCE INTERVIEW
GUIDE ACE-PREP
Authors: null
ISBN: 978-1-915002-10-5
year: 2022
pages: 136
Tags: #Data_Science
@Machine_learn
GUIDE ACE-PREP
Authors: null
ISBN: 978-1-915002-10-5
year: 2022
pages: 136
Tags: #Data_Science
@Machine_learn
👍9
https://www.globaldevelopment.dk/media/attachments/2021/07/31/practical-machine-learning-and-image-processing-1st-edition.pdf
Book: practical machine learning and image processing
year: 2019
Tags: #Data_Science #ML
@Machine_learn
Book: practical machine learning and image processing
year: 2019
Tags: #Data_Science #ML
@Machine_learn
🐼 PandaLM: ReProducible and Automated Language Model Assessment
Judge large language model, named PandaLM, which is trained to distinguish the superior model given several LLMs. PandaLM's focus extends beyond just the objective correctness of responses, which is the main focus of traditional evaluation datasets.
🖥 Github: https://github.com/weopenml/pandalm
📕 Paper: https://arxiv.org/abs/2306.05087v1
🔗 Dataset: https://github.com/tatsu-lab/stanford_alpaca#data-release
@Machine_learn
Judge large language model, named PandaLM, which is trained to distinguish the superior model given several LLMs. PandaLM's focus extends beyond just the objective correctness of responses, which is the main focus of traditional evaluation datasets.
🖥 Github: https://github.com/weopenml/pandalm
📕 Paper: https://arxiv.org/abs/2306.05087v1
🔗 Dataset: https://github.com/tatsu-lab/stanford_alpaca#data-release
@Machine_learn
❤4👍1🔥1