Gaussian Method

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Introduction to Enumerative Combinatorics (Coursera)

Enumerative combinatorics deals with finite sets and their cardinalities. In other words, a typical problem of enumerative combinatorics is to find the number of ways a certain pattern can be formed. In the first part of our course we will be dealing with elementary combinatorial objects and notions: permutations, [...]
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Bayesian Methods for Machine Learning (Coursera)

People apply Bayesian methods in many areas: from game development to drug discovery. They give superpowers to many machine learning algorithms: handling missing data, extracting much more information from small datasets. Bayesian methods also allow us to estimate uncertainty in predictions, which is a desirable feature for fields like [...]
Average: 5 ( 3 votes )

Robotics: Estimation and Learning (Coursera)

How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered [...]
Average: 10 ( 4 votes )

Bases Matemáticas: Algebra (edX)

En este curso se tratan los sistemas de ecuaciones, las matrices y cómo usarlas para resolverlos. En este curso se recordará lo que es una ecuación con una única incógnita y cómo solucionarla.
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