Posts

Modelling, Simulation and Control of Hydro-Power System - Part 6

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 6

Modelling, Simulation and Control of Hydro-Power System - Part 5

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 5

Modelling, Simulation and Control of Hydro-Power System - Part 4

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 4

Modelling, Simulation and Control of Hydro-Power System - Part 3

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 3

Modelling, Simulation and Control of Hydro-Power System - Part 2

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 2

Modelling, Simulation and Control of Hydro-Power System - Part 1

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.
Modelling, Simulation and Control of Hydro-Power System - Part 1

Introduction to Probability - Conditional Probability and Bayes theorem

Overview Machine Learning deals all the time with predicting a certain outcome, given a set of inputs, or features. The essence of this comes from conditional probability, which can be used to calculate the expectation of events which are dependent on other(s).

Multinoulli and Multinomial Distributions with Examples in Python

Overview In the last post (see here) I explained the following discrete distributions: Uniform Bernoulli Binomial In this post, we continue on this same subject, but now on Multinoulli and Multinomial distributions.
Multinoulli and Multinomial Distributions with Examples in Python

Introduction to Probability - Discrete Random Variables

Overview Hello! In this post we will go over the concept of discrete random variables in the context of Probability Theory. How is this concept relevant for fields such as Machine Learning and Artificial Intelligence?
Introduction to Probability - Discrete Random Variables

Uniform, Bernoulli and Binomial Distributions with Examples in Python

Hello! in this post you will learn about some common discrete distributions. Distribution can be related with the “behavior”, of a variable, what is the probability associated with a certain event $E$ under a certain distribution $F$.
Uniform, Bernoulli and Binomial Distributions with Examples in Python