Ivan Nardini

@IlNardo92

Sales Engineer at | Engineering Labs Lead at Machine Learning Systems Passionate | Technology addicted | Curious | Sporty

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ivannardini.medium.com
Joined February 2012
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  1. Nov 16

    Let's scaling your data science workflows with the

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  2. Oct 19

    Coffee and AutoML

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  3. Retweeted
    Oct 12

    5+ announcements to our data platform from : 1️⃣ Google Earth Engine availability with 2️⃣ Spark on Google Cloud 3️⃣ Vertex AI Workbench (preview) 4️⃣ BigQuery Omni (GA) 5️⃣ Cloud Spanner with a PostgreSQL interface And more ↓

    2 replies 60 retweets 107 likes
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  4. Oct 5

    All you need to know about AI & ML at 2021

    1 retweet 1 like
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  5. Oct 4

    Interesting post from that explains how you can use a python script to convert jsonl files from your plain textual files in order to build a model!

    1 retweet
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  6. Retweeted
    Sep 9

    Learn how to train and tune Models on using Vertex AI. ✅Train a PyTorch model with prebuilt and custom containers ✅Automate hyperparameter tuning ✅Using gcloud CLI and Vertex SDK for Python

    1 reply 18 retweets 83 likes
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  7. Sep 9

    "we present a model that can distinguish between normal and abnormal CXRs across multiple de-identified datasets and settings"

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  8. Sep 8

    Let's translate your website with ML models

    1 retweet
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  9. Retweeted
    Sep 6

    Non conosci il campo del o la piattaforma ? Niente paura! In questo blogpost , attraverso alcuni esempi, ti aiuterà a capire quando utilizzare quale strumento 👏

    1 retweet
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  10. Retweeted
    Aug 27

    People often ask me why Google Cloud had to build Vertex AI notebooks when Colab is so nice and free ... This is why:👇 "the notebook container allowed for a privilege escalation into other customer notebooks" 1/2 🧵

    1 reply 10 retweets 36 likes
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  11. Retweeted
    Aug 25

    🌟 New MLOps tutorial 🌟 Learn how to track metadata and artifacts across your ML pipeline runs ⬇️

    3 retweets 7 likes
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  12. Aug 19

    Google Cloud’s capabilities make AI easier to employ than ever before. It’s all in the data.

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  13. Aug 18

    Check out our latest blog post to access free training and learn how to automate hyperparameter tuning to find the best model

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  14. Aug 6

    Just enjoyed building a simple pipeline that shows how orchestrate training and deployment of a PySpark anomaly detection model with Dataproc and Spark Streaming using Vertex AI Pipelines.

    1 reply 1 retweet 3 likes
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  15. Retweeted
    Aug 1

    New to , or new to ? This blog walks through example ML scenarios to help you understand when to use which tool, going from ML APIs all the way to custom models, and MLOps for taking them into a production system ↓

    23 retweets 62 likes
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  16. Jul 26

    I start writing this article with a simple question in mind: how can I help who approach the platform today? Hopefully I figure it out because I was in the middle of my last move...you will see!

    2 likes
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  17. Retweeted
    Jul 22

    Today with , we're launching the Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: 1/

    108 replies 2,903 retweets 7,525 likes
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  18. Jul 22

    I built a simple using on

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  19. Retweeted
    Jul 20

    Join the ML Academy to expand your and knowledge and sharpen your skills. Co-hosted with , this lab will demo the end-to-end experience of training and serving a custom model on →

    3 replies 31 retweets 114 likes
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  20. Retweeted
    Jul 13

    BigQuery ML now supports hyperparameter tuning of model parameters:

    12 retweets 46 likes
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