FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

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

Not A Categorical Ban: Federal Circuit Narrowed Spectrum of Patent Eligible Machine Learning Claims

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
Ecommerce Fastlane

What Are AI Algorithms? Types of AI Algorithms + Use Cases

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Adeno Associated Virus Vector Manufacturing Market Research Report 2026 - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

Key market opportunities include the rising prevalence of chronic diseases and increased regulatory approvals driving demand ...
IEEE

An Adaptive Robust Support Vector Machine with Sequential Minimal Optimization for Imbalanced Data Classification

Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...

Health Discovery Corp.

Health Discovery Corp. advanced stock charts by Barron's. View HDVY historical stock data and compare to other stocks, and exchanges.
GitHub

Prediction of stroke using Support Vector Machine (SVM) and Decision Tree (DTREE).

The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
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 ...