Mon, January 20, 2025
[ Mon, Jan 20th ] - Techopedia
How Will U.S. Cybersecurity Look Under Trump?
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[ Sun, Jan 19th ] - CNET
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[ Sun, Jan 19th ] - Sky
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[ Fri, Jan 17th ] - LocalSYR
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[ Fri, Jan 17th ] - Nature
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[ Fri, Jan 17th ] - Forbes
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[ Fri, Jan 17th ] - businessday
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[ Fri, Jan 17th ] - Forbes
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[ Thu, Jan 16th ] - CNN
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[ Thu, Jan 16th ] - BBC
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[ Thu, Jan 16th ] - Newsweek
Solar Flares: NASA Reveals Early Warning Sign of 'Dangerous Space Weather'
[ Thu, Jan 16th ] - Firstpost
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[ Thu, Jan 16th ] - Wired
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[ Thu, Jan 16th ] - Scroll
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[ Thu, Jan 16th ] - UPI
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[ Thu, Jan 16th ] - NDTV
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[ Wed, Jan 15th ] - MSN
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[ Wed, Jan 15th ] - NDTV
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[ Wed, Jan 15th ] - Indiatimes
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[ Wed, Jan 15th ] - techUK
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[ Wed, Jan 15th ] - Forbes
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[ Wed, Jan 15th ] - AOL
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[ Wed, Jan 15th ] - Nature
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[ Wed, Jan 15th ] - Reuters
US imposing new export controls on biotechnology equipment
[ Wed, Jan 15th ] - Yahoo
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[ Wed, Jan 15th ] - NDTV
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[ Wed, Jan 15th ] - timesnownews
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[ Wed, Jan 15th ] - Reuters
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[ Wed, Jan 15th ] - Tuko
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[ Wed, Jan 15th ] - Reuters
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[ Wed, Jan 15th ] - KBOI
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Tue, January 14, 2025
[ Tue, Jan 14th ] - KADN
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[ Tue, Jan 14th ] - Yahoo
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[ Tue, Jan 14th ] - timesnownews
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[ Tue, Jan 14th ] - Nature
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[ Mon, Jan 13th ] - Yahoo
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[ Mon, Jan 13th ] - NASA
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4 ways to correct bad data and improve your AI


//science-technology.news-articles.net/content/2 .. ays-to-correct-bad-data-and-improve-your-ai.html
Published in Science and Technology on Wednesday, January 15th 2025 at 12:22 GMT by MSN   Print publication without navigation

  • AI success starts with better data practices. Learn to turn flawed datasets into opportunities for smarter marketing analytics. The post 4 ways to correct bad data and improve your AI appeared first on MarTech.

The article from MSN titled "4 Ways to Correct Bad Data and Improve Your AI" discusses strategies for enhancing the quality of data used in AI systems. It highlights the importance of data integrity for AI performance, suggesting four key methods to address data issues: 1) Data Cleaning - which involves removing or correcting errors, duplicates, and irrelevant data to ensure accuracy. 2) Data Validation - implementing checks to ensure data meets certain standards before it's used. 3) Data Enrichment - enhancing existing data with additional, relevant information to provide more context or detail. 4) Continuous Monitoring and Updating - regularly reviewing and updating data to adapt to changes over time, ensuring the AI model remains relevant and effective. The article emphasizes that these practices not only improve AI model outcomes but also help in building trust in AI systems by ensuring they operate on high-quality, reliable data.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/data-science/4-ways-to-correct-bad-data-and-improve-your-ai/ar-AA1xfWWu ]

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