Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks you through calculating the slope and intercept, predicting new values, and ...

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...

The current project uses a Random Forest model for yield prediction. While this works, we can also implement the task using a Deep Learning Artificial Neural Network (ANN) for potentially better ...

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

Cross-validation based model evaluation Automatic calculation of RMSE, MAE, R², and Explained Variance Error percentage calculations relative to target variable ...

Abstract: Realizing deep neural networks in hardware is becoming increasingly challenging as applications require ever more layers and weights, incurring computational and storage costs. Current ...