A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
DataCamp Recruit: An Overview – Support
Appendix A 10-Fold Cross Validation for Parameter
Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, finance, and commerce. This book is designed for a short course on machine learning. It is a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know.
Learning from Data: A Short Course [Book]
User-Based and Item-Based Collaborative Filtering — Part 5, by Rakesh4real
Not All Kubernetes Services Are Equal. We Should Know., by B23.io
Survey Research Paper on Current Intrusion Detection
The 6 Best Courses to Learn SQL in 2023 (read this first) – LearnDataSci
GitHub - d909b/ame: 🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
Types of Machine Learning Algorithms You Should Know, by Jose Fumo