Remove Computer Vision Remove Data Analysis Remove Data Drift
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Five open-source AI tools to know

IBM Journey to AI blog

Biased training data can lead to discriminatory outcomes, while data drift can render models ineffective and labeling errors can lead to unreliable models. Scikit-learn is a powerful open-source Python library for machine learning and predictive data analysis. Morgan and Spotify.

AI Tools 207
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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Model Development (Inner Loop): The inner loop element consists of your iterative data science workflow. A typical workflow is illustrated here from data ingestion, EDA (Exploratory Data Analysis), experimentation, model development and evaluation, to the registration of a candidate model for production.

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Data Science Tutorial using Python

Viso.ai

At its core, data science is all about discovering useful patterns in data and presenting them to tell a story or make informed decisions. provides a robust end-to-end no-code computer vision solution – Viso Suite. Data from the real world is usually messy, contains missing values, and needs transformation.

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Building ML Platform in Retail and eCommerce

The MLOps Blog

As an example for catalogue data, it’s important to check if the set of mandatory fields like product title, primary image, nutritional values, etc. are present in the data. So, we need to build a verification layer that runs based on a set of rules to verify and validate data before preparing it for model training.

ML 59
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How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline

AWS Machine Learning Blog

In order to power these applications, as well as those using other data modalities like computer vision, we need a robust and efficient workflow to quickly annotate data, train and evaluate models, and iterate quickly. As part of this strategy, they developed an in-house passport analysis model to verify passenger IDs.