Software development

One of the most valuable assets in a startup, especially in the early days, is the team behind it. When you make a hiring decision, think about what will happen when the product is built. The iterations, pivots and sometimes complete changes of direc...

This allows you to, predict the growth of the function for the following values along the X-axis, for example. To do this, we will use the standard set from Python, the numpy library, the mathematical method from the sсipy library, and the matplotlib...

As stated earlier, Double Exponential Smoothing will consider only the trend and ignore the seasonality. Since the data has upward trend, the prediction is a straight line with positive Slope. Note the above code doesn't explicitly check new terms ar...

Using Python language and libraries like numpy and scipy, you can simply work wonders in data science, as shown in this task. When you give it a 2d array, the NumPy exponential function simply computes for every input value x in the input array, and ...

The constant k is called the decay constant, disintegration constant, rate constant, or transformation constant. The exponential of a complex argument is closely related to trigonometry as shown by Euler's formula. The argument can even be an entirel...

We can observe that $(x - x_0)(x - x_1)ldots(x - x_n)$ is itself a factorized polynomial and that the distinct points $x_0, x_1, ldots, x_n$ are its roots. Thus the problem of reducing the relative error is equivalent to the problem of choosing roots...