Building an AI Driven Portfolio Management System: From Machine Learning Basics to Advanced Implementation

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Frontiers

Application and comparison of ARIMA, LSTM, and ARIMA-LSTM models for predicting foodborne diseases in Liaoning Province

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...
devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...
Geeky Gadgets

How to Build Intelligent AI Agents in Python That Think and Adapt

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...
GitHub

add training for LSTM models completely on device

I've seen lots of examples of tuning embeddings, centroids and adding weights to the dense heads of an LSTM model but I want to know if it's possible to basically pass in data for the model to be ...
GitHub

Deep-Learning-for-Conditional-Asset-Pricing-Models

Overview This repository contains a Siamese LSTM architecture implementation for stock return prediction. The model uses two parallel LSTM branches to process: Individual firm characteristics Common ...
The Verge

Anthropic will start training its AI models on chat transcripts

You can choose to opt out. You can choose to opt out. is The Verge’s senior AI reporter. An AI beat reporter for more than five years, her work has also appeared in CNBC, MIT Technology Review, Wired ...
Frontiers

A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...
Hosted on MSN

Master Emoji Prediction with LSTM in TensorFlow Complete Walkthrough

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Forbes

The AI Models Replacing Fashion Models And Business Models

Forbes contributors publish independent expert analyses and insights. Fashion modeling is experiencing significant technological disruption as AI platforms evolve from simple model generation into ...
C&EN

Prediction of Flowing Bottomhole Pressure in Gas-Lifted Wells Using LSTM-ANN Models

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...