Suddenly, cross-disciplinary massive learning occurred.
When not studied, it would seem terrifying.
And once truly undertaken,
it would only seem more terrifying.
What Li Zheng had to face was not merely an exam, but reality itself.
His first step was to reach the level of a Bachelor in Computer Science.
As a Senior Programmer, this was not difficult.
The second step was to achieve the level of a Master's in Machine Learning.
This...
Was actually not very difficult either.
However, there are types of Masters: the idle Masters and the expert Masters.
As an idle Master, one could pass the exams, graduate smoothly, and just find a job.
As for an expert Master, one had to master a large amount of core knowledge in the field during the learning phase.
This included, but was not limited to, probability theory, statistics, approximation theory, convex analysis, and algorithm complexity theory...
