Tags
Language
Tags
<<
April 2024
Su Mo Tu We Th Fr Sa
31 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 1 2 3 4
  1. Home
  2. eBooks & eLearning
  3. Causality analysis
https://canv.ai/
The picture is generated by canv.ai

We are excited to announce that Canv.ai now features a built-in translator, allowing you to communicate in your native language. You can write prompts in your language, and they will be automatically translated into English, facilitating communication and the exchange of ideas!

We value freedom of speech and guarantee the absence of censorship on Canv.ai. At the same time, we hope and believe in the high moral standards of our users, which will help maintain a respectful and constructive atmosphere.

👉 Check for yourself!

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

Posted By: exLib
Date: 31 Jan 2024 23:59:42
"Bayesian Inference: Recent Trends" ed. by İhsan Bucak

"Bayesian Inference: Recent Trends" ed. by İhsan Bucak
ITexLi | 2024 | ISBN: 1837693552 9781837693559 1837693560 9781837693566 1837693579 9781837693573 | 78 pages | PDF | 6 MB

This book is an invaluable resource for anyone interested in the intersection of statistics, machine learning, and data science. It offers a unique perspective on Bayesian inference, revealing its potential to provide robust solutions in an increasingly data-driven world. The book is your gateway to understanding and leveraging the power of Bayesian methods in the ever-evolving landscape of data analysis.
Details

"Applied Probability Theory: New Perspectives, Recent Advances and Trends" ed. by Abdo Abou Jaoude

Posted By: exLib
Date: 31 Jan 2023 23:59:46
"Applied Probability Theory: New Perspectives, Recent Advances and Trends" ed. by Abdo Abou Jaoude

"Applied Probability Theory: New Perspectives, Recent Advances and Trends" ed. by Abdo Abou Jaoude
ITexLi | 2023 | ISBN: 1837682968 9781837682966 183768295X 9781837682959 1837682976 9781837682973 | 160 pages | PDF | 26 MB

This book provides a comprehensive overview of probability theory. It discusses some fundamental aspects of pure and applied probability theory and explores its use in solving a large array of problems. Topics addressed include complex probability, the stability of algorithms in statistical modeling, the non-homogeneous Hofmann process, and more.
Details
UPWARDS