Deep Learning with Yacine on MSN

Adadelta Optimizer From Scratch in Python – Step-by-Step Tutorial

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam Optimizer From Scratch in Python – Step-by-Step Tutorial

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
The Paris Review

On Progress and Regression

From the political philosopher Rahel Jaeggi’s Progress and Regression, translated from the German by Robert Savage (Harvard ...
InfoWorld

How to deploy machine learning models with AWS Lambda

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for ...

Python-based framework makes climate dynamics more approachable for students and researchers

A team of researchers at the University of Miami has developed a global atmospheric modeling framework that blends powerful ...

IIT Delhi Opens Applications For Applied Data Science And AI Programme

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

IIT Delhi Opens Registration For Second Batch Of Certificate Programme In Applied Data Science & AI

Offered under IIT Delhi’s Continuing Education Programme (CEP), the six-month course provides a comprehensive foundation in ...

IIT Delhi Invites Applications For 2nd Batch of Certificate Programme in Applied Data Science & AI

Six-month programme builds job-ready skills in Python, ML, Deep Learning & MLOps, culminating in real-world capstone and ...
IEEE

A multidimensional indicator prediction assessment method based on time series and multiple linear regression model

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...
The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
IEEE

Strict Arcsine Regression for Longitudinal Count Data: A Marginal Modelling Approach

Abstract: The strict arcsine model of the natural exponential family with cubic variance function is a feasible alternative for statistical analysis of overdispersed count data. Following from this ...
GitHub

ONNX YOLOv9 MIT Object Detection

I skipped adding the pad to the input image when resizing, which might affect the accuracy of the model if the input image has a different aspect ratio compared to the input size of the model. Always ...