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From the Editor

Dedicated to Data Science, Machine Learning & Applied Intelligence, we recently decided to make room for a new topic: Photo Intelligence. With the advance of digital photography most of us have large collections of photos. Large collections come with all kinds of practical problems. How do we find all the photos of that one person? What to do with real or near duplicate images? How do we get photos taken with various devices neatly organized chronologically? Find all the answers and an application for the management of persons in photo collections you can download here.   

 

Editor's Pick

Coding

Finding and Eliminating Photo Duplicates — Safely

This article presents a practical, safe approach to finding and eliminating duplicates — even when filenames, formats, and resolutions differ. Digital duplicates If you’ve been collecting...
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Models

Photo Intelligence

Finding and Eliminating Photo Duplicates — Safely

Coding coder -
This article presents a practical, safe approach to finding and eliminating duplicates — even when filenames, formats, and resolutions differ. Digital duplicates If you’ve been collecting...
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Why Face Recognition Alone Is Not Enough — and How Context Turns Identification into Knowledge

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Modern face-recognition systems excel at identifying people, but identification alone is rarely enough.This article demonstrates how enriching a biometric recognition system with a structured,...
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Managing Persons in Photo Collections – Adding Eye Candy

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Adding Eye Candy Note: In this article, real people’s faces and names in illustrations have been intentionally obscured to protect privacy In this next step...
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Managing Persons in Photo Collections – Completing the App with Interactive Search

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Completing the Application Note: In this article, real people’s faces and names in illustrations have been intentionally obscured to protect privacy Continuing our series, in this...
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Data

Synchronizing Data Frames from Different Time Zones

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Synchronizing data frames from different time zones is a requirement to be able to work consistently with a uniform time indication especially with (price)...
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LSTM Sequence Length Helper

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Helpers for LSTM models For predicting time series, such as the daily or hourly price history of financial assets like cryptocurrencies or stock tickers, LSTM...
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Feature Engineering

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Feature engineering is the process of transforming raw data into relevant information for use by machine learning models. In other words, feature engineering is the process...
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Technical Analysis

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