On this post I wanted to summarize all videos of each session of our latest Comunidad AI Live Event. This event was organized by Fernando Chiquiza, Luis Beltran and Luis Valencia. Day 1 are sessions in Spanish, Day 2 are sessions in
On this post I wanted to summarize all videos of each session of our latest Comunidad AI Live Event. This event was organized by Fernando Chiquiza, Luis Beltran and Luis Valencia. Day 1
Comunidad AI Live is a community founded in 2020 aiming to share information about AI and ML, initially targeted to the LATAM audience, but in 2021 we amplified our audience allowing speakers to
![[Algorithms] - Multi class classification](/content/images/2021/10/multiclass-clasiffers.png)
From Techopedia: Linear multiclass classification is a specific kind of targeted algorithm philosophy in machine learning and the field of structured prediction that uses both linear and multiclass methods. A multiclass classification is
![[Algorithms] - Support Vector Machines](/content/images/2021/10/svm.png)
A support vector machine (SVM) is a supervised machine learning model that uses classification algorithms for two-group classification problem. Compared to newer algorithms like neural networks, they have two main advantages: higher speed
![[Algorithms] - Logistic Regression](/content/images/2021/09/image-6-1.png)
Logistic Regression is a Machine Learning classification algorithm that is used to predict the probability of a categorical dependent variable. In logistic regression, the dependent variable is a binary variable that contains data
Ridge Regression Ridge regression learns , using the same least-squares criterion but adds a penalty for large variations in parameters. The addition of a penalty parameter is called regularization. Regularization is an important concept