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Pablo Gutierrez
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  • Madrid
  • Spain
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Latest Activity

Pablo Gutierrez liked Divya Singh's blog post Building Blocks of Decision Tree
May 23
Jose Sanchez Aldana liked Pablo Gutierrez's blog post Entropy of rolling dices
May 21
Pablo Gutierrez's blog post was featured

Entropy of rolling dices

The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc.Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized.This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after some time it will…See More
May 21
Pablo Gutierrez commented on Andrea Manero-Bastin's blog post The 17 equations that changed the course of history
"Very nice post! I belive that the Shanon equation for information theory is related to the definition of Entropy and its nature, so equations 6 and 9 would be connected."
Apr 16
Rudy Martin liked Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
Apr 16
Pablo Gutierrez commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"Hi Jason. The data is for cumulative cases. Of course most of these people will recover after a while, but the analysis is focused on the infection process. Regards"
Apr 16
Roan A Garcia-Quintana liked Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
Apr 15
Jason Chia Kim Leng commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"This seems to model a scenario where the number of infected COVID-19 cases will plateau eventually instead of decline back down to zero-which suggests that life will never return back to normal...unless the graphical plot’s y axis represents…"
Apr 15
Pablo Gutierrez commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"Thanks Peter. I will check it out. Regards"
Apr 13
Peter Cotton commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"Nice exposition. Thanks. Of course there are some issues with assuming a representative agent. See this post for some discussion of population density etc and simulations using pandemic on PyPI. I'll follow up with a blog…"
Apr 13
Pablo Gutierrez liked Bohdan Pavlyshenko's blog post Bayesian Model for COVID-19 Spread Prediction
Apr 13
Habib commented on Pablo Gutierrez's blog post Nonlinear regression of COVID19 infected cases.
"Could you please share the R codes and the data files in English to replicate the results at: [email protected]"
Apr 12
Pablo Gutierrez's blog post was featured

Nonlinear regression of COVID19 infected cases.

In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model is called SIR because of the three states one individual can have. These states are:Susceptible: The individuals that can be infected by the diseaseInfected: The individuals that have been infected and suffer the disease.Recovered: The individuals that recovered from the disease and have become immune.The equations that represent these states…See More
Apr 12
Pablo Gutierrez's blog post was featured

An easy way to evaluate the probability of winning a commercial opportunity

When ever we visit a client and present our proposal, we start wondering if it will be accepted or rejected by the customer. Usually, our customer will analyze our proposal, compare it with other competitors’ and make a decision.In order to build our commercial forecast system, we need to assign a probability to every proposal we have presented and assign a numerical value to every one of them. One way of doing this is multiplying the value of the proposal by the probability of wining…See More
Nov 29, 2019

Profile Information

Company:
Telefonica
Job Title:
Analyst
Seniority:
Technical
Job Function:
Data Science, Machine Learning, Business Analytics, BI
Industry:
Telco
LinkedIn Profile:
http://https://www.linkedin.com/in/pablogutierrezastilleros/
Interests:
Contributing, Networking

Pablo Gutierrez's Blog

Entropy of rolling dices

Posted on May 21, 2020 at 6:53am 0 Comments

The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc.

Entropy is related to the number of states that one stochastic system can take and how this system will evolve with time, in such a way that the uncertainty will be maximized.

This will happened y two ways, first, every system will choose the configuration with a higher degree of entropy among all that are available and second, if we let the system evolve, after…

Continue

Nonlinear regression of COVID19 infected cases.

Posted on April 12, 2020 at 11:23am 5 Comments

In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model is called SIR because of the three states one individual can have.

These states are:

  • Susceptible: The individuals that can be infected by the disease
  • Infected: The individuals that have been infected and suffer the disease.
  • Recovered: The individuals that recovered from the disease and have become…
Continue

An easy way to evaluate the probability of winning a commercial opportunity

Posted on November 26, 2019 at 3:05am 0 Comments

When ever we visit a client and present our proposal, we start wondering if it will be accepted or rejected by the customer. Usually, our customer will analyze our proposal, compare it with other competitors’ and make a decision.

In order to build our commercial forecast system, we need to assign a probability to every proposal we have presented and assign a numerical value to every one of them.

One way of doing this is multiplying the value of the proposal by the probability of…

Continue

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