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KDnuggets

KDnuggets is a specialized technology publication focused on data science, machine learning, analytics, and artificial intelligence.

Outlet · Official site

Indexed articles, last 90 days
104
Latest publication
Sep 29, 2026
Audience
Top 500K sites
Earliest in this view
Jul 6, 2026

Latest articles

  1. Article · Sep 29, 2026 · KDnuggets

    How to Turn Excel Data Into PowerPoint Presentations With AI (opens the original)

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    Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation.

  2. Article · Sep 29, 2026 · Shittu Olumide

    SuperWhisper s1-mini: The 600M Parameter Model Built Just for Transcription (opens the original)

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    This is a summary of, and insights into, what I found digging into the recently-released Superwhisper S1 family of voice-to-text models.

  3. Article · Sep 29, 2026 · Abid Ali Awan

    5 Free Courses to Learn AI Engineering (opens the original)

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    Learn LLM fundamentals, AI engineering, RAG, MLOps, fine-tuning, and deployment with five practical courses designed to help you become a stronger AI and machine learning engineer.

  4. Article · Sep 28, 2026 · Shittu Olumide

    Gemini 3.5 Transcribe vs OpenAI’s GPT-Transcribe (opens the original)

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    Here's how each got to where it is, a real use case and working code for both, and a side-by-side on the numbers that actually matter.

  5. Article · Sep 28, 2026 · Matthew Mayo

    3 Numba Tricks for Python Runtime Optimization (opens the original)

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    When Numba code disappoints, it's nearly never the compiler, and usually ends up being the boundary around the compiled code: not crossing it, not making it wide enough, or crossing it during every run.

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

Top 500K sites

Measured Aug 1, 2026

Website popularity band, not a count of readers or article views.

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Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

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