Published in Microsoft Azure·Aug 26, 2021Member-onlyAzure Automated Machine LearningA classification task — 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…Azure6 min read
Published in Analytics Vidhya·Apr 18, 2021Member-onlyUnderstanding the Perceptron AlgorithmA step-by-step example — 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. …Perceptron6 min read
Published in Analytics Vidhya·Mar 28, 2021Member-onlySplitting Criteria for Decision Tree Algorithm — Part 2The Gini Index and its implementation with Python — In Part 1 of this series, we saw one important splitting criterion for Decision Tree algorithms, that is Information Gain. In this Part 2 of this series, I’m going to dwell on another splitting criterion, always based on the concept of node heterogeneity, which is the Gini Index. …Decision Tree5 min read
Published in Analytics Vidhya·Mar 27, 2021Member-onlySplitting Criteria for Decision Tree Algorithm — Part 1Information Gain and its implementation with Python — 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…Decision Tree6 min read
Published in Analytics Vidhya·Mar 21, 2021Member-onlyIntroduction to Box Plots and how to interpret themAn implementation with Python — Box Plots are very useful graphs used in descriptive statistics. Box plots visually show many features of numerical data through displaying their statistics, like means, averages, and so forth. Visually speaking, a Box Plot looks like the following:Box Plot6 min read
Published in Microsoft Azure·Mar 14, 2021Member-onlyHow to power Azure Defender with SentinelDetect and investigate potential threats — Announced in September 2020 at Microsoft Ignite, Azure Defender has been presented as the evolution of Azure Security Center (ASC). …Azure6 min read
Published in Microsoft Azure·Feb 8, 2021Member-onlyAzure Cognitive Services REST API for Face AnalysisAn implementation with Python — Artificial Intelligence and its applications have opened innovative paths in societies and organizations. Today we can simultaneously get a transcript, in any language, of someone’s speech, identify individuals’ identities via smart cameras, and so on. Yet it all comes with a price: time and resources. Indeed, training algorithms behind any…Azure Cognitive Service6 min read
Published in DataSeries·Jan 31, 2021Member-onlyHow to deal with Unbalanced Dataset in Binary Classification — Part 3Customized Loss Function with Python — 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…Unbalanced Data6 min read
Published in DataSeries·Jan 30, 2021Member-onlyHow to deal with Unbalanced Dataset in Binary Classification — Part 2Implementing different cutpoints with Python — 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. …Unbalanced Data5 min read
Published in DataSeries·Jan 24, 2021Member-onlyHow to deal with Unbalanced Dataset in Binary Classification — Part 1Re-Sampling procedures with Python — Whenever we initialize a task for a Machine Learning model, the very first thing to do is analyzing and reasoning on the data we are provided with and will be using for training/testing purposes. Indeed, it is often the case that even before thinking about the model to use, we…Unbalanced Data6 min read
