Traditional machine learning models, such as SVM and Naive Bayes, depend on manual feature engineering, which limits their ability to effectively capture complex patterns and deep features within text ...

Objective: To construct a venous thromboembolism (VTE) risk prediction model for orthopedic inpatients using machine learning modeling techniques, identify high-risk patients, and optimize clinical ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

This project explores Parkinson’s Disease detection using voice features and machine learning. It compares algorithms like KNN, Naïve Bayes, Logistic Regression, Random Forest, SVM, XGBoost, and Ne ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study. If you have the appropriate ...

Researchers used machine learning to predict the PAMs of millions of Cas9 enzymes, identifying a set of novel engineered Cas9 enzymes that would have the best on-target activity and specificity.

Discover how to choose the right washing machine cycle for your laundry needs. Learn about different settings and how they affect fabric care and cleaning efficiency.

The right technology can use the excitement and fun of physical activities to reinforce learning concepts through movement.

AinunAbidin / Python--Naive_bayes-SOM-Q_learning-Bagging-Machine_Learning Public Notifications You must be signed in to change notification settings Fork 0 Star 0 ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the naive Bayes regression technique, where the goal is to predict a single numeric value. Compared to other ...