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#machinelearing — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #machinelearing, aggregated by home.social.

  1. #Scientific papers include more and more often #replication packages with valuable #datasets that are then frequently used to train #AI and #MachineLearing models.

    But with datasets not properly #documented with information about their #provenance, #biases and other #social concerns, this is risky as the #ML models will use in environments for which the data was not representative, yielding potentially wrong conclusions.

    In this work, we have analyzed the datasets in two top dataset journals to study their #documentation #practices and propose a few recommendations to improve the current situation.

    Paper accepted in the 𝘕𝘢𝘵𝘶𝘳𝘦'𝘴 𝘚𝘤𝘪𝘦𝘯𝘵𝘪𝘧𝘪𝘤 𝘋𝘢𝘵𝘢 journal

    Pre-print arxiv.org/pdf/2401.10304

  2. I’ll be at #NeurIPS the coming days. Ping me if you wanna hang out, grab a drink, or talk #probabilistic #machinelearing.

  3. Feels like combining #llm models with what Semantic Web is doing for a long time with triple stores and ontology modelling would be a good idea to enhance #ml #machinelearing #artificialinteligence #ai algorithms, has that been done already?

  4. 🤔 How often do we really interrogate the drawings & figures in our DS & ML papers & educational content? Especially w.r.t. deep learning?

    😬 I know I've had a bad habit of taking a "laissez-faire" approach to learning

    🎉 I'm excited about this piece Aaron Master & Doron Bergman have written in support for more GOOD diagrams, especially in #deeplearning & #machinelearing papers.

    medium.com/@amaster_37400/plea

  5. #ChatGPT4 will coming soon.

    Some interesting news:
    - It's multimodal: it can take in input images and text.
    - it's more powerful than the previous one.
    - It has a an incredible accuracy in typical #AI tasks like #classification, and so on.

    #chatgpt #openai #MachineLearing

  6. Need to analyze a collection of datasets based on their ?
    Check out our new approach for Principal Geodesic Analysis in the Wasserstein space of , with applications to dimension reduction:
    arxiv.org/abs/2207.10960

    Funded by the European Research Council (ERC) (project TORI, erc-tori.github.io/)

  7. @gusthema
    Top 1: Hosting mock behavioral interviews with @shawnaxsom
    Top 2: Hosting #MachineLearing News Twitter spaces with Prince Canuma
    Top 3: Writing more at tomaszhamerla.com
    + managed to attend all Google events on technical writing - One, Two, Accessibility, Train the trainer

    Bottom: the war in Ukraine

  8. Cisco acquires Modcam to make Meraki smart camera portfolio even smarter - As the Internet of Things, proliferates, security cameras are getting smarter. Today, these devices ... - feedproxy.google.com/~r/Techcr #artificialintelligence #mergersandacquisitions #fundings&exits #machinelearing #enterprise #startups #meraki #cloud #cisco #exit #m&a #iot #tc