A Guide to How to Make Sure You are Productive When Working from Home
Since the beginning of 2020, the emergence of the coronavirus pandemic and all of the lockdown restriction measures that have ensued, the […]
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DSS 2020 Review
This is a short review of the thing we were up to in 2020. This is an year of epidemics and economic […]
Finding Relationships between Pensions, Health Status and Education in Bulgaria
Finding Relationships between Pensions, Health Status and Education in B…
40+ open access websites that provide useful resources for everybody!
This article will not be useful only for data scientists, programmers, mathematicians, statisticians, and other scientists, but also for everybody. This is […]
Stochastic Processes and Applications
This notebook is a basic introduction into Stochastic Processes. It is meant for the general reader that is not very math savvy, like the course participants in the Math Concepts for Developers in SoftUni.
There is a basic definition. Some examples of the most popular types of processes like Random Walk, Brownian Motion or Weiner Process, Poisson Process and Markov chains have been given. Their basic characteristics and examples for some possible applications are stated. For all the examples there are simulations in Python, some are visualized.
The following packages have been used:
nympy
matplotlib.pyplot
random
scipy.stats
itertools
matplotlib.patches