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Analytics

Harness the power of data with analytics insights. Learn how to interpret metrics, track user behavior, and make informed decisions to drive business growth.

Past Edition

Dive back into Analytics Edition #864 for Friday, June 13, 2025's essential reads and reflections

Read

  1. Apple introduces third dimension to Swift Charts framework
    FlowingData ·
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  2. Scaling up image segmentation across data and tasks
    Amazon Science · Segmentation ·
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  3. Data engineer
    Dataconomy ·
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  4. Heat maps
    Dataconomy ·
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  5. Edge analytics
    Dataconomy · Analytics ·
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  6. Data exploration
    Dataconomy ·
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  7. Data feeds
    Dataconomy ·
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  8. Normal distribution
    Dataconomy ·
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  9. Comparing multiples
    FlowingData ·
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  10. Harsha Amba: Engineering scalable automation for the next-gen supply chain
    Dataconomy ·
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  11. Airlines sell passenger flight data to Customs and Border Protection
    FlowingData ·
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  12. How to Learn Math for Data Science: A Roadmap for Beginners
    KDNuggets ·
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  13. Snap adds $8.99/month Lens+ to boost AR features
    Dataconomy ·
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  14. Building a Custom PDF Parser with PyPDF and LangChain
    KDNuggets ·
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  15. Altman-backed Coco Robotics quietly secures $80M
    Dataconomy ·
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  16. Apple now uses AI to guide what apps you see
    Dataconomy ·
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  17. How to delete your 23andMe data
    Dataconomy ·
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  18. Meta AI brings 10-second video editing to mobile
    Dataconomy ·
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  19. Don’t buy an Airpods 2 now!
    Dataconomy ·
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  20. Meta releases V-JEPA 2 to train AI on real-world physics
    Dataconomy ·
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  21. TensorWave Accelerates AI with AMD Instinct MI355X Deployment
    Dataconomy ·
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  22. 3D printing and the creator economy: How premium gaming models are shaping new market
    Dataconomy ·
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  23. Why high quality data annotation is the backbone of AI training?
    Dataconomy ·
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  24. Service Looking to hire a Fractional Website Manager? Book a call today to explore how we can elevate your website's success!
    alinmat.com
  25. Product Upload your images or PDFs and extract text seamlessly
    3DOCR
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Listen

  1. 164: I built an entire data pipeline in 30 minutes using only AI (no code required)
    Data Career ·
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