antoine-toubhans-flexible-ml-experiment-tracking-system-for-python-coders-with-dvc-and-streamlit.json

{
    "title": "Flexible ML Experiment Tracking System for Python Coders with DVC and Streamlit",
    "description": "Speaker:: Antoine Toubhans\n\nTrack: PyData: PyData & Scientific Libraries Stack\nThere are tons of tools to do data science. Too often, data scientists end up using a monolithic AI platform that \u201cdoes everything by clicking on a UI\u201d. In this talk, I will walk you through a pythonic and flexible ML experiment tracking system based on 1) GIT \ud83d\ude42 2) [DVC](https://dvc.org/) (Data Version Control) to track the data 3) [Streamlit](https://streamlit.io/) to build a data exploration app. I will quickly introduce the tools separately and then focus on how they can be combined together to build a tailor-made experiment tracking system.\n\n\nRecorded at the PyConDE & PyData Berlin 2022 conference, April 11-13 2022.\nhttps://2022.pycon.de\nMore details at the conference page: https://2022.pycon.de/program/WADNGC\nTwitter: https://twitter.com/pydataberlin\nTwitter: https://twitter.com/pyconde",
    "thumbnail_url": "https://i.ytimg.com/vi/YOSVMMwTlHM/hqdefault.jpg",
    "duration": 2739,
    "speakers": [
        "Antoine Toubhans"
    ],
    "language": "eng",
    "recorded": "2022-05-12",
    "videos": [
        {
            "type": "youtube",
            "url": "https://www.youtube.com/watch?v=YOSVMMwTlHM"
        }
    ],
    "related_urls": [
        {
            "label": "Talk announcement",
            "url": "https://2022.pycon.de/program/WADNGC"
        }
    ],
    "tags": [
        "PyCon",
        "PyConDE",
        "pyconde2022",
        "pydata",
        "PyDataBerlin",
        "pydataberlin2022"
    ]
}