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Articles by Sergio Virahonda (Articles: 32)

Articles: 32

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Average article rating: 4.69

Artificial Intelligence
Deep Learning
12 May 2021   Updated: 12 May 2021   Rating: 5.00/5    Votes: 3   Popularity: 2.39
Licence: CPOL    Views: 4,071     Bookmarked: 3   Downloaded: 0
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In this article we’ll see how to define jobs, deployments, and services so that our containers can accomplish their objectives.
13 May 2021   Updated: 13 May 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 8,236     Bookmarked: 3   Downloaded: 0
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In this article we set up Jenkins CI for this project in order to start building and automating our MLOps pipelines.
14 May 2021   Updated: 14 May 2021   Rating: 0.00/5    Votes: 0   Popularity: 0.00
Licence: CPOL    Views: 6,930     Bookmarked: 1   Downloaded: 0
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In the previous article in the series we set up build Jenkins workflows. In this article, we're going to build them.
17 May 2021   Updated: 17 May 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 5,762     Bookmarked: 2   Downloaded: 0
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In this article, we develop a semi-automated deployment-to-production script, which will complete our project.
Keras
24 Feb 2021   Updated: 24 Feb 2021   Rating: 5.00/5    Votes: 5   Popularity: 3.49
Licence: CPOL    Views: 6,541     Bookmarked: 7   Downloaded: 223
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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.
25 Feb 2021   Updated: 25 Feb 2021   Rating: 5.00/5    Votes: 4   Popularity: 3.01
Licence: CPOL    Views: 8,230     Bookmarked: 4   Downloaded: 171
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In this article, we learn how to prepare time series data to be fed to machine learning (ML) and deep learning (DL) models.
26 Feb 2021   Updated: 26 Feb 2021   Rating: 5.00/5    Votes: 8   Popularity: 4.52
Licence: CPOL    Views: 7,571     Bookmarked: 8   Downloaded: 250
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In this article we talk about anomaly detection on time series data.
1 Mar 2021   Updated: 1 Mar 2021   Rating: 4.92/5    Votes: 4   Popularity: 2.96
Licence: CPOL    Views: 6,960     Bookmarked: 3   Downloaded: 158
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In the next article, we are going to discuss forecasting on Bitcoin time series.
2 Mar 2021   Updated: 2 Mar 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 6,250     Bookmarked: 3   Downloaded: 171
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In this article we’ll combine forecasting and detection on a live stream of Bitcoin price data.
24 Mar 2021   Updated: 24 Mar 2021   Rating: 4.75/5    Votes: 5   Popularity: 3.32
Licence: CPOL    Views: 11,051     Bookmarked: 14   Downloaded: 83,570
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In the previous article I gave a general overview of deep fakes generation and the elements involved in the process.
25 Mar 2021   Updated: 25 Mar 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 5,587     Bookmarked: 7   Downloaded: 0
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In this article I’ll explain the different options we can choose from to create deep fakes.
26 Mar 2021   Updated: 26 Mar 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 5,170     Bookmarked: 2   Downloaded: 0
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In this article we’ll start to focus on our DIY approach.
29 Mar 2021   Updated: 29 Mar 2021   Rating: 5.00/5    Votes: 4   Popularity: 3.01
Licence: CPOL    Views: 5,800     Bookmarked: 3   Downloaded: 0
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In this article, I’ll go through what’s required to preprocess videos and prepare them to be fed into our models.
30 Mar 2021   Updated: 30 Mar 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 9,172     Bookmarked: 7   Downloaded: 0
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In this article we'll build and train our models with them.
1 Apr 2021   Updated: 1 Apr 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 8,011     Bookmarked: 4   Downloaded: 0
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In this article I’ll show you how to train your deep fake models in the cloud with some help from Docker.
5 Apr 2021   Updated: 5 Apr 2021   Rating: 4.00/5    Votes: 1   Popularity: 0.00
Licence: CPOL    Views: 5,560     Bookmarked: 4   Downloaded: 0
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In the next article, we talked about Google AI Platform and how to train your models there with some help from Docker containers.
6 Apr 2021   Updated: 6 Apr 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 6,430     Bookmarked: 5   Downloaded: 0
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In this article, we complete the pipeline for our Deep Fakes DIY solution.
8 Apr 2021   Updated: 8 Apr 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 14,396     Bookmarked: 4   Downloaded: 0
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In this article we’ll explore DeepFaceLab as an alternative to our last approach.
Machine Learning
3 May 2021   Updated: 3 May 2021   Rating: 3.75/5    Votes: 3   Popularity: 1.79
Licence: CPOL    Views: 5,653     Bookmarked: 4   Downloaded: 64
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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
4 May 2021   Updated: 4 May 2021   Rating: 5.00/5    Votes: 1   Popularity: 0.00
Licence: CPOL    Views: 4,980     Bookmarked: 5   Downloaded: 45
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In this article, we set up a cloud environment for this project.
6 May 2021   Updated: 6 May 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 4,742     Bookmarked: 2   Downloaded: 20
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In this article, we’ll deep-dive into the Continuous Training code.
7 May 2021   Updated: 7 May 2021   Rating: 0.00/5    Votes: 0   Popularity: 0.00
Licence: CPOL    Views: 4,390     Bookmarked: 4   Downloaded: 22
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In this article, we develop a model unit testing container.
10 May 2021   Updated: 10 May 2021   Rating: 5.00/5    Votes: 2   Popularity: 1.51
Licence: CPOL    Views: 6,300     Bookmarked: 4   Downloaded: 44
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In this article we build the model API to support the prediction service.
11 May 2021   Updated: 11 May 2021   Rating: 4.95/5    Votes: 4   Popularity: 2.98
Licence: CPOL    Views: 5,192     Bookmarked: 3   Downloaded: 0
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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
25 Jan 2021   Updated: 25 Jan 2021   Rating: 4.38/5    Votes: 4   Popularity: 2.64
Licence: CPOL    Views: 8,250     Bookmarked: 5   Downloaded: 0
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Different approaches to create a face mask detector
26 Jan 2021   Updated: 26 Jan 2021   Rating: 0.00/5    Votes: 0   Popularity: 0.00
Licence: CPOL    Views: 7,130     Bookmarked: 6   Downloaded: 0
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In this article we prepare a face mask images for our AI model training.
27 Jan 2021   Updated: 27 Jan 2021   Rating: 5.00/5    Votes: 6   Popularity: 3.89
Licence: CPOL    Views: 8,500     Bookmarked: 8   Downloaded: 0
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In this article in the series, we label a face mask dataset.
28 Jan 2021   Updated: 28 Jan 2021   Rating: 3.20/5    Votes: 4   Popularity: 1.93
Licence: CPOL    Views: 12,840     Bookmarked: 4   Downloaded: 0
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In this article, we’re going to use the dataset to train a YOLOv5 object detection model.
29 Jan 2021   Updated: 29 Jan 2021   Rating: 5.00/5    Votes: 3   Popularity: 2.39
Licence: CPOL    Views: 38,371     Bookmarked: 2   Downloaded: 0
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In this article we test a face mask detector on a regular computer.
1 Feb 2021   Updated: 1 Feb 2021   Rating: 2.33/5    Votes: 2   Popularity: 0.70
Licence: CPOL    Views: 29,363     Bookmarked: 7   Downloaded: 0
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In this article we’ll deploy our YOLOv5 face mask detector on Raspberry Pi.
5 May 2021   Updated: 5 May 2021   Rating: 4.75/5    Votes: 3   Popularity: 2.27
Licence: CPOL    Views: 5,290     Bookmarked: 2   Downloaded: 29
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In this article, we’ll implement automatic training.
Containers
Docker
31 Mar 2021   Updated: 31 Mar 2021   Rating: 4.05/5    Votes: 5   Popularity: 2.83
Licence: CPOL    Views: 5,991     Bookmarked: 2   Downloaded: 0
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In this article, I’ll talk about Docker containers.

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United States 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.