In this episode I explain how the machine learning algorithms based on trees and forests work. In the episode I explain in a simple way the idea behind the decision trees and also the powerful algorithms RandomForest and XGBoost and its respectives methods, bagging and boosting.

In this episode I talk about the next generation of instagram filters, that we will be able to edit easily specific attributes of our face or even mix two people. I also explain the artificial intelligence networks behind this next generation of filters.

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Code: https://github.com/filipelauar/projects/tree/main/styleGAN_interfaceGAN_IDInvert_faceAttributeFAN

In this episode I talk about how artificial intelligence is generating people that doesn't exist. I explain how the GANs work, the Generative Adversarial Networks that are able to generate perfectly people from noise.

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This person is real: https://thispersondoesnotexist.com/

Which face is real: https://www.whichfaceisreal.com/

In this episode I talk about how Facebook algorithms work. I explain the main goal of the platform and also how do they use our data to make money. I also give some examples of how powerful data is.  

In this episode we explain how computers understand texts. I talk about a representation based on the dictionary and a more efficient one based on the attributes/characteristics of the word so that the computer can understand them better.