Source: What is automated ML? AutoML — Azure Machine Learning | Microsoft Docs

Automated Machine Learning (AutoML) is a service available within the Azure Machine Learning (AML) service.

As the name suggests, the main goal of AutoML is that of automating the development and scoring of different types of ML models to eventually pick the one which is the most performing. Basically, AutoML…

Neural network. If then else / Wikimedia, CC BY-SA

Invented in 1958 at the Cornell Aeronautical Laboratory by Frank Rosenblatt, the Perceptron is a binary classification algorithm that falls within the cluster of Neural Networks algorithms.

More specifically, a Perceptron is a single-layer, feedforward Neural Network whose capability is limited to binary and linear classification tasks. …

Decision Trees are popular Machine Learning algorithms used for both regression and classification tasks. Their popularity mainly arises from their interpretability and representability, as they mimic the way the human brain takes decisions.

The mechanism behind decision trees is that of a recursive classification procedure as a function of explanatory…

Source: https://www.istockphoto.com/it/immagine/balance?excludenudity=false&phrase=balance&sort=mostpopular

In the previous articles of this series, we have been introducing some techniques to deal with the imbalance in data in binary classification tasks. Part 1 examined some resampling techniques; Part 2 focused on how to modify the algorithm by changing the threshold value.

In this Part 3, we are…

Source: https://www.istockphoto.com/it/immagine/balance?excludenudity=false&phrase=balance&sort=mostpopular

In Part 1 of this series of articles, I’ve been introducing the curse of class imbalance in binary classification tasks and some remedies to address it. More specifically, I’ve been focusing on how to intervene directly to the dataset with different sampling techniques in order to make it more balanced.

Valentina Alto

Cloud Specialist at @Microsoft | MSc in Data Science | Machine Learning, Statistics and Running enthusiast

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