GitHub

Heart Disease Classification using Machine Learning Algorithms (SVM, MLP, Random Forest ...

There was an error while loading. Please reload this page. This project focuses on developing and evaluating machine learning models to classify individuals into ...
Investopedia

How to Apply Buffett & Munger's Top Strategy for Picking Winning Stocks

Dara-Abasi Ita writes about trading and investing for Investopedia and Investing.com, and he is an editor at Lawverse magazine. He has written about financial topics, including private equity, asset ...
Scientific Research Publishing

Comparative Study of Machine Learning Models for Load Prediction and Energy Management ()

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Electrical and Communication Engineering Department, United Arab Emirates University, Al ...
insurancebusinessmag

How one E&S insurer is tackling California's wildfire risk with machine learning

As insurers pull back from California’s fire-prone regions, one MGA writing excess and surplus (E&S) business is taking a different approach. Delos Insurance is underwriting property coverage using a ...
IEEE

Learning and Application of Different Machine Learning Methods (KNN, SVM, Decision Tree) in ...

Abstract: With the continuous development of artificial intelligence, machine learning has shown great ability in classification and regression problems. For example, logistic regression, SVM methods, ...
Scientific Research Publishing

Diabetes Diagnosis Using Machine Learning: A SVM-Based Approach ()

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...
GitHub

Abdulrahmann-Omar/SVM-Using-SGD

This project explores the mathematical and practical implementation of Support Vector Machines (SVMs) optimized using Stochastic Gradient Descent (SGD). It includes a theoretical foundation, algorithm ...
Engadget

Google will use machine learning to try and tell if a user is under 18

Google will start testing a feature this year that uses machine learning to weed out children trying to access adult content on YouTube. The “machine learning-based age estimation model” will try to ...