Eugenia Anello

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My Most Read Medium Stories

And my posts categorized according to various topics — If you appreciated my articles and would like to focus on one or more specific topics, this post will be useful for you. I am going to provide comprehensive tutorials on a range of Data Science topics. …

Data Science

3 min read

Data Science

3 min read

Published in MLearning.ai

·1 day ago

Building a Web Application to detect Breast Cancer in Ultrasound images

A friendly guide to easily do Object Detection on medical images — Last month was designated as the pink month, dedicated to raising awareness of breast cancer and encouraging women to prevention through medical visits. The mortality of this disease can decrease significantly if the diagnosis is done earlier and, then, a lot of lives can be saved. The most common way…

Data Science

8 min read

Building a Web Application to detect Breast Cancer in Ultrasound images

Data Science

8 min read

Published in Towards Data Science

·Nov 8

An End to End Web App to detect anomalies from ECG signals with Streamlit

This tutorial focus on building a web application with MLflow, Sagemaker and Streamlit — This article is in continuation of the story How to deploy your ML model using DagsHub+MLflow+AWS Lambda. In the previous story, I showed how to train and deploy a model to detect irregular heart rhythms from ECG signals. The benchmark dataset was the ECG5000 dataset, which contains 5000 heartbeats randomly…

Data Science

9 min read

An End to End Web App to detect anomalies from ECG signals with Streamlit

Data Science

9 min read

Published in Towards Data Science

·Oct 5

CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

A novel anomaly localization approach that produces the features adapted to the target dataset and employs transfer learning — This article is in continuation of the stories Paper Review: Reconstruction by inpainting for visual anomaly detection and GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training. In the previous posts, I covered reconstruction-based approaches that identify anomalies in images. Models, such as autoencoder and generative adversarial networks, can be…

Data Science

10 min read

CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly…

Data Science

10 min read

Published in Towards Data Science

·Sep 14

How to deploy your ML model using DagsHub+MLflow+AWS Lambda

An intuitive tutorial that shows how to deploy the trained model and make predictions on new data — The deployment of the machine learning model is one of the most important skills for a data scientist. …

Data Science

10 min read

How to deploy your ML model using DagsHub+MLflow+AWS Lambda

Data Science

10 min read

Published in Towards Data Science

·Sep 1

Creating a Web Application to extract topics from audio with Python

A step-by-step tutorial to build and deploy a web application for topic modelling of a Spotify Podcast — The article is in continuation of the story How to build a Web App to Transcribe and Summarize audio with Python. In the previous post, I have shown how to build an app that transcribes and summarizes the content of your favourite Spotify Podcast. …

Data Science

7 min read

Creating a Web Application to extract topics from audio with Python

Data Science

7 min read

Published in Towards Data Science

·Aug 22

GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training

A novel anomaly detection model that combines Autoencoder with Generative Adversarial Network — This article is in continuation of the story Paper Review: Reconstruction by inpainting for visual anomaly detection. In the previous post, I reviewed a novel method that improves anomaly detection performances by passing images with random blocks to the U-net. This tutorial can be useful to make you understand how…

Data Science

9 min read

GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training

Data Science

9 min read

Published in Towards Data Science

·Aug 10

How to build a Web App to Transcribe and Summarize audio with Python

A practical guide to summarize your favourite Data Science Spotify Podcast and Streamlit to create the web app — The episodes of Spotify’s podcasts are characterized to be very long and this can discourage or distract you easily. Have you ever thought to summarize the content of podcasts that appear appealing, but you are in the mood at that moment? It can be a good idea to get the…

Data Science

6 min read

How to build a Web App to Transcribe and Summarize audio with Python

Data Science

6 min read

Published in Towards Data Science

·Aug 8

Paper Review: Reconstruction by inpainting for visual anomaly detection

5 minutes explanation of how anomaly detection can be improved by passing images with random patterns to the autoencoder — In this story, I am going to review the reconstruction-by-inpainting anomaly detection (RIAD) method [1], introduced by the University of Ljubljana. There are two main concepts in this paper: RIAD is a method that removes partial local regions in images and reconstructs the images started by corrupted images

Data Science

8 min read

Paper Review: Reconstruction by inpainting for visual anomaly detection

Data Science

8 min read

Published in Better Programming

·Aug 1

How To Manage Branches in Your GitHub Repository

An overview to create, switch, and delete a branch — This post continues with the story How To Update Your GitHub Repository in Visual Studio Code. In the previous post, I explained how to clone your GitHub repository on VS Code, commit and push changes, and make a pull request. These are fundamental operations when working in a team. But…

Programming

5 min read

How To Manage Branches in Your GitHub Repository

Programming

5 min read