by instadatahelp | Aug 28, 2023 | AI Blogs
AWS and the University of San Francisco’s Data Institute collaborated to organize a datathon as part of the 2023 Data Science Conference (DSCO 23). The competition involved high school and undergraduate students working on a data science project focused on air...
by instadatahelp | Aug 28, 2023 | AI Blogs
Scalable Computation of Causal Bounds Authors: Madhumitha Shridharan, Garud Iyengar; Journal: 24(237):1โ35, 2023. Abstract This study focuses on the problem of computing bounds for causal queries on causal graphs with unobserved confounders and discrete-valued...
by instadatahelp | Aug 28, 2023 | AI Blogs
[Submitted on 25 Aug 2023] Download a PDF of the paper titled “Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery” by Patrick Emedom-Nnamdi and three other authors here. Abstract: We...
by instadatahelp | Aug 28, 2023 | AI Blogs
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments Haixu Ma, Donglin Zeng, Yufeng Liu; 24(102):1โ48, 2023. Abstract In recent years, there has been increased attention towards data-driven individualized decision making problems. One...
by instadatahelp | Aug 28, 2023 | AI Blogs
Business planning relies heavily on time-series forecasts. However, these forecasts often prioritize objectives that do not align with the goals of the business, resulting in forecasts that do not meet business preferences. In this study, we show that optimizing...
by instadatahelp | Aug 28, 2023 | AI Blogs
Efficient Computation of Rankings from Pairwise Comparisons M. E. J. Newman; 24(238):1โ25, 2023. Abstract This study focuses on the ranking of individuals, teams, or objects, based on pairwise comparisons between them, using the Bradley-Terry model. The estimation of...
by instadatahelp | Aug 28, 2023 | AI Blogs
Parameter-efficient fine-tuning (PEFT) is a new approach that allows for cost-effective fine-tuning of large language models (LLMs). One popular choice for fine-tuning is low-rank adaptation (LoRA). However, a common issue with fine-tuned LLMs is that they often...
by edureka! | Aug 28, 2023 | Educational Videos
The Videos are copyrighted to YouTube and the author. The videos are reproduced here for the easy access by the viewers. ๐ฅ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐๐ก๐ข๐ง๐ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐๐๐ฌ๐ญ๐๐ซ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ : https://www.edureka.co/masters-program/machine-learning-engineer-training (๐๐ฌ๐ ๐๐จ๐๐: ๐๐๐๐๐๐๐๐๐)...
by instadatahelp | Aug 28, 2023 | AI Blogs
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates Authors: Yann Fraboni, Richard Vidal, Laetitia Kameni, Marco Lorenzi; Published in 2023, Volume 24, Issue 110, Pages 1-43. Abstract This study presents a novel framework...
by Dot CSV | Aug 28, 2023 | Educational Videos
The Videos are copyrighted to YouTube and the author. The videos are reproduced here for the easy access by the viewers. No te culpes a ti si aรบn no sabes explicarle a tus amigos quรฉ es el Blockchain y por quรฉ es una de las tecnologรญas mรกs prometedoras de la...
