Sun.Dec 11, 2022

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Machine Learning with Limited Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In machine learning, the data’s amount and quality are necessary to model training and performance. The amount of data affects machine learning and deep learning algorithms a lot. Most of the algorithm’s behaviors change if the amount of data is increased or […].

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CIO Leadership Live with Germin Abouel Atta, CIO, The British University in Egypt

CIO Business Intelligence

Watch the episode: Listen to the episode: CIO Leadership Live.

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Streamlining Machine Learning Workflows with MLOps

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically. However, successfully deploying and managing ML in production can be challenging, requiring careful coordination between data scientists and […].

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How Data Lineage Improves Data Compliance

Octopai

With great power comes…. …great compliance regulations. No, we’re not arguing on the truth of “with great power comes great responsibility.” But when entities with great power neglect their responsibility, they inevitably get slapped with compliance regulations designed to force responsibility. . Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.