IEEE

A random forest-based machine learning algorithm for predicting onion whole sale price

Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
Intuit on MSN

6 steps to train an AI model to do whatever you want

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
Analytics Insight

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
Frontiers

CEACAM6 as a machine learning derived immune biomarker for predicting neoadjuvant chemotherapy response in HR+/HER2− breast cancer

Background: Hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2−) breast cancer is the most common subtype, characterized by heterogeneous neoadjuvant chemotherapy ...
IEEE

Data Quality Issues for Speech Emotion Recognition System Using Novel Logistic Regression Algorithm and Compare Accuracy with Random Forest Algorithm

Abstract: To compare the accuracy of the Random Forest algorithm with the Novel Logistic Regression Technique in order to predict the data quality issues for the voice emotion identification system.
Morningstar

Splight Raises $12.4M to Expand Transmission Capacity with Machine Learning Amid Surging Demand from Data Centers and Utilities

With over 3 gigawatts of grid assets already under management, Splight aims to use the fresh capital to accelerate the deployment of Dynamic Congestion Management™ on grid systems across U.S. and ...