FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Seeking Alpha

Coinbase to buy Vector, expanding support for solana network

Crypto exchange Coinbase Global (COIN) agreed to acquire Vector, an onchain trading platform built on solana (SOL-USD), the company said on Friday. Integrating Vector's technology into Coinbase's ...
Invezz

Bitcoin finds support at $100,300, eyes the $106k mark: check forecast

Bitcoin is down 1.7% in the last 24 hours and temporarily dropped below $100k. The bearish performance comes amid declining institutional interest. Bitcoin could rally to $106k if the daily support at ...
Frontiers

“Smart agriculture: a climate-driven approach to modelling and forecasting fall armyworm populations in maize using machine learning algorithms”

The fall armyworm (Spodoptera frugiperda) poses a significant threat to global maize production owing to its rapid life cycle, extensive host range, and strong dispersal capabilities. We developed a ...
Hosted on MSN

The market is a forecasting machine, business is all about anticipation, says Jim Cramer

'Mad Money' host Jim Cramer breaks out the blackboard for a lesson on the Federal Reserve; what it does, who it impacts, and why you should care. The Trump team can’t get its story straight on the ...
Scientific Research Publishing

Putri, N.H., Fatekurohman, M. and Tirta, I.M. (2021) Credit Risk Analysis Using Support Vector Machines Algorithm. Journal of Physics: Conference Series, 1836, Article ID: 012039.

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...
IEEE

QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems

Abstract: A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced ...