40 Algorithms Every Programmer Should Know

Example

Many machine learning algorithms start from a random solution and then iteratively improve the solution. The final solution might be efficient but we cannot prove that it is the best one. This method is used in complex problems to solve them in a reasonable timeframe. That is why, for many machine learning algorithms, the only way to get repeatable results is to use the same sequence of random numbers by using the same seed.