Segmenting And Clustering
Nonparametric Bayesian Inference in Biostatistics (Repost) eBooks & eLearning
Posted by insetes at Oct. 26, 2017
Nonparametric Bayesian Inference in Biostatistics By Mitra Riten, Peter Müller
2015 | 450 Pages | ISBN: 3319195174 | PDF | 10 MB
2015 | 450 Pages | ISBN: 3319195174 | PDF | 10 MB
Retail Analytics eBooks & eLearning
Posted by naag at March 9, 2015
Retail Analytics
MP4 | Video: AVC 640x360 | 53 Kbps | Audio: AAC 44.KHz | 40 MB
Genre: eLearning: Marketing / Analytics & Automation | Language: English
MP4 | Video: AVC 640x360 | 53 Kbps | Audio: AAC 44.KHz | 40 MB
Genre: eLearning: Marketing / Analytics & Automation | Language: English
Data Science for Marketing Analytics eBooks & eLearning
Posted by naag at Aug. 24, 2019
Data Science for Marketing Analytics
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 4.66 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 4.5 Hours | 4.66 GB
Genre: eLearning | Language: English
Python, Mysql, Chatgpt & Tableau With Data Analysis Projects eBooks & eLearning
Posted by ELK1nG at March 25, 2024
Python, Mysql, Chatgpt & Tableau With Data Analysis Projects
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.48 GB | Duration: 21h 19m
Published 3/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.48 GB | Duration: 21h 19m
No Prior Experience Required - Learn MySQL, Python, ChatGPT and all topics for the Tableau Data Analyst Certification
Nonparametric Bayesian Inference in Biostatistics (Reposr) eBooks & eLearning
Posted by AvaxGenius at April 6, 2022
Nonparametric Bayesian Inference in Biostatistics by Riten Mitra
English | PDF | 2015 | 448 Pages | ISBN : 3319195174 | 10 MB
As chapters in this book demonstrate, BNP has important uses in clinical sciences and inference for issues like unknown partitions in genomics. Nonparametric Bayesian approaches (BNP) play an ever expanding role in biostatistical inference from use in proteomics to clinical trials. Many research problems involve an abundance of data and require flexible and complex probability models beyond the traditional parametric approaches.