#BasketballAnalytics #BasketbolAnaliz #Scouting #BallWithNumbers Would you like this translated into Turkish or adapted for a specific platform (e.g., LinkedIn, Instagram, or a forum like BasketbolForum)?
What’s your favorite memory from using a 2019 basketball analysis program? Mine was discovering that our “sharpshooter” actually shot 18% from the right corner. 😅 Basketbol analiz program 2019
✅ Manually tag possessions ✅ Build your own shot charts in Excel ✅ Sync video with spreadsheets like a hacker Basketbol analiz program 2019
Here’s an interesting post idea for a blog, social media, or forum related to — focusing on its unique role during that era: Title: Why 2019 Was the “Wild West” of Basketball Analytics – And Why We Miss It Basketbol analiz program 2019
Dataloop's AI Development Platform
Build end-to-end workflows
Dataloop is a complete AI development stack, allowing you to make
data, elements, models and human feedback work together easily.
Use one centralized tool for every step of the AI development process.
Import data from external blob storage, internal file system storage or public datasets.
Connect to external applications using a REST API & a Python SDK.
Save, share, reuse
Every single pipeline can be cloned, edited and reused by other data
professionals in the organization. Never build the same thing twice.
Use existing, pre-created pipelines for RAG, RLHF, RLAF, Active Learning & more.
Deploy multi-modal pipelines with one click across multiple cloud resources.
Use versions for your pipelines to make sure the deployed pipeline is the stable one.
Easily manage pipelines
Spend less time dealing with the logistics of owning multiple data
pipelines, and get back to building great AI applications.
Easy visualization of the data flow through the pipeline.
Identify & troubleshoot issues with clear, node-based error messages.
Use scalable AI infrastructure that can grow to support massive amounts of data.