Struggling to understand how logistic regression works with gradient descent? This video breaks down the full mathematical derivation step-by-step, so you can truly grasp this core machine ...

Null hypothesis vs. hypothesis, which is the right choice? When you get into the different methods of analyzing data, there is no shortage of tools at your disposal. Understanding the difference ...

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Degrees of freedom are commonly discussed in hypothesis testing in statistics, such as a chi-square. Degrees of freedom are calculated by subtracting one from the number of items within the data ...

The sparsity model has been employed for hyperspectral target detection and has been proved to be very effective when compared to the traditional linear mixture model. However, the state-of-art ...

Model I modelled the early evolution of COVID-19 as a logistic function with 6 parameters: where σ (x,θ) represents the number of positive cases at x -th day after the 24th of February. I exploited ...