Supercharged Dataset Prep in 2 Minutes with Chariot скачать в хорошем качестве

Supercharged Dataset Prep in 2 Minutes with Chariot

Struggling with messy dataset prep for machine learning? In this quick 2-minute walkthrough, Eric Korman, Chief Science Officer at Striveworks, shows how Chariot simplifies the process from end to end — from custom dataset creation to train/test/val splits — all while keeping your data versioned and annotated. Whether you're building computer vision models or managing complex ML pipelines, Chariot gives data scientists the tools to move faster with confidence. 👇 Jump to what matters most: ⏱ Timestamps 00:10 – Why dataset prep is painful (and how Chariot helps) 00:25 – Computer vision example: image + annotation versioning 00:42 – Dataset history & metadata filtering 01:00 – Filtering datasets by time 01:08 – Creating train/test/val splits 01:21 – Filtering splits by task type, label, or time 01:35 – Creating snapshots for reproducibility 01:50 – Avoiding data leakage with evolving datasets 🧠 More about Chariot: Chariot is Striveworks’ MLOps platform that brings transparency, control, and automation to every part of the model lifecycle — especially where it’s most often overlooked: your data. 📍 Learn more at https://www.striveworks.com 👍 Like this video if you're tired of spending hours wrangling data. 💬 Drop a comment if there's a feature you'd love to see covered next! 📢 Subscribe for more fast, focused walkthroughs from the Striveworks team.