Lasso Regression and LassoCV: methods & Python codes
The Lasso (Least Absolute Shrinkage and Selection Operator) is a regression technique that enhances prediction accuracy and interpretability by applying…
Simple linear regression using train-test split in Python & R
An example of performing simple linear regression using train-test split where the process is as follows, 1. Generate a synthetic…
How to Write a Proof in a paper
Reviewers are not required to read supplementary materials, but many do. Therefore, making your proof easy to read is important.…
Example of using derivatives to find optimal drug dosage
Dosage Optimization: Pharmacologists use derivatives to find the optimal drug dosage that maximizes therapeutic effects while minimizing side effects. The…
Example of using derivatives to optimize the material cost
Optimization of Material Usage: Engineers use derivatives to minimize the cost of materials while maintaining structural integrity. For example, determining…
Examples of using the derivative tests for finding maximum/minimum
Problem 2: Find the minimum distance from the point (2, 3) to the line . Solution: More examples:
Combining datasets to increase sample size
Detailed information can be found in Combining datasets to improve model fitting or its presentation slide. Summary: The key points…
Calculus can hurt
Supplementary contents for section “Calculus can hurt” in the KSML app: Limit: Derivatives Integral
Expectation Maximization (EM) & implementation
Expectation Maximization (EM) is an iterative algorithm used for finding maximum likelihood estimates of parameters in statistical models, particularly when…
A comic guide to denoising noisy data
Handling noisy data is a crucial step in data preprocessing and analysis. In general, here are some common approaches to…