Articles by Sergio Virahonda (Articles: 32)

Articles: 32

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Artificial Intelligence
Deep Learning	Jenkins Jobs and Deployments for MLOps on GKE 12 May 2021 Updated: 12 May 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 4,902 Bookmarked: 3 Downloaded: 0 Please Sign up or sign in to vote. In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.
	Setting Up Jenkins to Build CI/CD Pipelines for MLOps 13 May 2021 Updated: 13 May 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 9,638 Bookmarked: 3 Downloaded: 0 Please Sign up or sign in to vote. In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.
	Chaining MLOps Pipelines with Jenkins Workflows 14 May 2021 Updated: 14 May 2021 Rating: 0.00/5 Votes: 0 Popularity: 0.00 Licence: CPOL Views: 7,970 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. In the previous article in the series we set up build Jenkins workflows. In this article, we're going to build them.
	Automating MLOps Deployment to Kubernetes 17 May 2021 Updated: 17 May 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 6,584 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. In this article, we develop a semi-automated deployment-to-production script, which will complete our project.
Keras	Why Use AI on Time-Series Data? 24 Feb 2021 Updated: 24 Feb 2021 Rating: 5.00/5 Votes: 5 Popularity: 3.49 Licence: CPOL Views: 7,292 Bookmarked: 7 Downloaded: 225 Please Sign up or sign in to vote. This series of articles will guide you through the steps necessary to develop a fully functional time series forecaster and anomaly detector application with AI.
	Preprocessing Time Series Data for AI Forecasting and Anomaly Detection 25 Feb 2021 Updated: 25 Feb 2021 Rating: 5.00/5 Votes: 4 Popularity: 3.01 Licence: CPOL Views: 9,521 Bookmarked: 4 Downloaded: 173 Please Sign up or sign in to vote. In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.
	AI Anomaly Detection on Bitcoin Time Series Data 26 Feb 2021 Updated: 26 Feb 2021 Rating: 5.00/5 Votes: 8 Popularity: 4.52 Licence: CPOL Views: 9,061 Bookmarked: 8 Downloaded: 284 Please Sign up or sign in to vote. In this article we talk about anomaly detection on time series data.
	AI Forecasting on Bitcoin Time Series Data 1 Mar 2021 Updated: 1 Mar 2021 Rating: 4.92/5 Votes: 4 Popularity: 2.96 Licence: CPOL Views: 8,471 Bookmarked: 3 Downloaded: 159 Please Sign up or sign in to vote. In the next article, we are going to discuss forecasting on Bitcoin time series.
	AI Forecasting and Anomaly Detection on Streaming Bitcoin Prices 2 Mar 2021 Updated: 2 Mar 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 7,292 Bookmarked: 3 Downloaded: 172 Please Sign up or sign in to vote. In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
	Video Face Transfer with Deep Fakes 24 Mar 2021 Updated: 24 Mar 2021 Rating: 4.75/5 Votes: 5 Popularity: 3.32 Licence: CPOL Views: 14,824 Bookmarked: 14 Downloaded: 84,016 Please Sign up or sign in to vote. In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.
	Approaches to Generating Deep Fakes 25 Mar 2021 Updated: 25 Mar 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 6,549 Bookmarked: 7 Downloaded: 0 Please Sign up or sign in to vote. In this article I’ll explain the different options we can choose from to create deep fakes.
	Using Autoencoders for Deep Fake Generation 26 Mar 2021 Updated: 26 Mar 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 6,160 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. In this article we’ll start to focus on our DIY approach.
	Preprocessing a Dataset for Deep Fakes 29 Mar 2021 Updated: 29 Mar 2021 Rating: 5.00/5 Votes: 4 Popularity: 3.01 Licence: CPOL Views: 7,081 Bookmarked: 3 Downloaded: 0 Please Sign up or sign in to vote. In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.
	Building and Training Deep Fake Autoencoders 30 Mar 2021 Updated: 30 Mar 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 10,813 Bookmarked: 7 Downloaded: 0 Please Sign up or sign in to vote. In this article we'll build and train our models with them.
	Preparing to Train Deep Fake Models in the Cloud 1 Apr 2021 Updated: 1 Apr 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 9,312 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
	Building a Docker Container to Train Deep Fake Autoencoders 5 Apr 2021 Updated: 5 Apr 2021 Rating: 4.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 6,541 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.
	Putting it all Together: Swapping Faces with Deep Fakes 6 Apr 2021 Updated: 6 Apr 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 8,011 Bookmarked: 5 Downloaded: 0 Please Sign up or sign in to vote. In this article, we complete the pipeline for our Deep Fakes DIY solution.
	DeepFaceLab: A Pre-Packaged Alternative DIY Deep Fakes 8 Apr 2021 Updated: 8 Apr 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 17,090 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In this article we’ll explore DeepFaceLab as an alternative to our last approach.
Machine Learning	Automatic Training, Testing, and Deployment of AI Using MLOps: Overview 3 May 2021 Updated: 3 May 2021 Rating: 3.75/5 Votes: 3 Popularity: 1.79 Licence: CPOL Views: 6,733 Bookmarked: 4 Downloaded: 66 Please Sign up or sign in to vote. In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity
	Setting Up GitHub, Docker, and Google Cloud Platform for Automated MLOps 4 May 2021 Updated: 4 May 2021 Rating: 5.00/5 Votes: 1 Popularity: 0.00 Licence: CPOL Views: 6,051 Bookmarked: 5 Downloaded: 49 Please Sign up or sign in to vote. In this article, we set up a cloud environment for this project.
	Continuous Training in an MLOps Pipeline 6 May 2021 Updated: 6 May 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 5,809 Bookmarked: 2 Downloaded: 21 Please Sign up or sign in to vote. In this article, we’ll deep-dive into the Continuous Training code.
	MLOps Continuous Delivery with Model Unit Testing 7 May 2021 Updated: 7 May 2021 Rating: 0.00/5 Votes: 0 Popularity: 0.00 Licence: CPOL Views: 4,992 Bookmarked: 4 Downloaded: 23 Please Sign up or sign in to vote. In this article, we develop a model unit testing container.
	Building an MLOps Model API 10 May 2021 Updated: 10 May 2021 Rating: 5.00/5 Votes: 2 Popularity: 1.51 Licence: CPOL Views: 7,256 Bookmarked: 4 Downloaded: 44 Please Sign up or sign in to vote. In this article we build the model API to support the prediction service.
	Creating an MLOps Kubernetes Cluster on GKE 11 May 2021 Updated: 11 May 2021 Rating: 4.95/5 Votes: 4 Popularity: 2.98 Licence: CPOL Views: 5,974 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In this article series, we'll demonstrate how to take use a CI/CD pipeline - a tool usually used by developers and DevOps teams - and demonstrate how to use it to create a complete training, test, and deployment pipeline for AI that meets the requirements of level 2 in the Google MLOps Maturity
Tensorflow	AI on the Edge: Face Mask Detection 25 Jan 2021 Updated: 25 Jan 2021 Rating: 4.38/5 Votes: 4 Popularity: 2.64 Licence: CPOL Views: 10,072 Bookmarked: 5 Downloaded: 0 Please Sign up or sign in to vote. Different approaches to create a face mask detector
	Preparing Images for AI Model Training 26 Jan 2021 Updated: 26 Jan 2021 Rating: 0.00/5 Votes: 0 Popularity: 0.00 Licence: CPOL Views: 8,380 Bookmarked: 6 Downloaded: 0 Please Sign up or sign in to vote. In this article we prepare a face mask images for our AI model training.
	Labelling Images for AI Model Training 27 Jan 2021 Updated: 27 Jan 2021 Rating: 5.00/5 Votes: 6 Popularity: 3.89 Licence: CPOL Views: 10,597 Bookmarked: 8 Downloaded: 0 Please Sign up or sign in to vote. In this article in the series, we label a face mask dataset.
	Training a YOLOv5 Model for Face Mask Detection 28 Jan 2021 Updated: 28 Jan 2021 Rating: 3.20/5 Votes: 4 Popularity: 1.93 Licence: CPOL Views: 14,092 Bookmarked: 4 Downloaded: 0 Please Sign up or sign in to vote. In this article, we’re going to use the dataset to train a YOLOv5 object detection model.
	Converting YOLOv5 PyTorch Model Weights to TensorFlow Lite Format 29 Jan 2021 Updated: 29 Jan 2021 Rating: 5.00/5 Votes: 3 Popularity: 2.39 Licence: CPOL Views: 42,876 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. In this article we test a face mask detector on a regular computer.
	Deploying YOLOv5 Model on Raspberry Pi with Coral USB Accelerator 1 Feb 2021 Updated: 1 Feb 2021 Rating: 2.33/5 Votes: 2 Popularity: 0.70 Licence: CPOL Views: 34,655 Bookmarked: 7 Downloaded: 0 Please Sign up or sign in to vote. In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.
	Model Auto-Adjustment in an MLOps Pipeline 5 May 2021 Updated: 5 May 2021 Rating: 4.75/5 Votes: 3 Popularity: 2.27 Licence: CPOL Views: 6,252 Bookmarked: 2 Downloaded: 31 Please Sign up or sign in to vote. In this article, we’ll implement automatic training.
Containers
Docker	A Brief Docker Overview 31 Mar 2021 Updated: 31 Mar 2021 Rating: 4.05/5 Votes: 5 Popularity: 2.83 Licence: CPOL Views: 6,862 Bookmarked: 2 Downloaded: 0 Please Sign up or sign in to vote. In this article, I’ll talk about Docker containers.

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Sergio Virahonda

United States

Sergio Virahonda grew up in Venezuela where obtained a bachelor's degree in Telecommunications Engineering. He moved abroad 4 years ago and since then has been focused on building meaningful data science career. He's currently living in Argentina writing code as a freelance developer.