In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search ... introduction to data ...

For example, sorting algorithms turn unordered data into data ordered by some criteria, often the numeric or alphabetical order of one or more fields in the data. Linear regression algorithms fit ...

To extract greater value from your data, put these five categories of algorithms to work. Linear regression is one of the most ... a random forest is a culmination of many small and simple trees that ...

Algorithms are an essential toolbox for every programmer. You will need to mind algorithms runtime when you have to sort data, search for a value in a big dataset, transform data, scale your code to ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

The correctness and linear time complexity are demonstrated analytically and verified experimentally. The algorithm may be of practical value since it is relatively simple and easy to implement and it ...

We show that the proposed simple linear filter can lead ... interpolation when compared to a recently introduced linear interpolator. The proposed filter also outperforms most nonlinear demosaicing ...