Visualizing High Dimension Data Using UMAP Is A Piece Of Cake Now скачать в хорошем качестве

Visualizing High Dimension Data Using UMAP Is A Piece Of Cake Now

Google colab link: https://colab.research.google.com/dri... UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riemannian geometry and algebraic topology. the result is a practical scalable algorithm that is applicable to real world data. UMAP algorithm is competitive with t-SNE for visualization quality, and arguably preserves more of the global structure with superior run time performance. Furthermore, UMAP has no computational restrictions on embedding dimension, making it viable as a general purpose dimension reduction technique for machine learning ---------------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------- All Playlist In My channel Interview Playlist:    • Machine Learning Interview questions   Complete DL Playlist:    • Complete Road Map To Prepare For Deep...   Julia Playlist:    • Tutorial 1- Introduction To Julia Pro...   Complete ML Playlist :   • Complete Machine Learning playlist   Complete NLP Playlist:   • Natural Language Processing   Docker End To End Implementation:    • Docker End to End Implementation   Live stream Playlist:    • Pytorch   Machine Learning Pipelines:    • Docker End to End Implementation   Pytorch Playlist:    • Pytorch   Feature Engineering :   • Feature Engineering   Live Projects :   • Live Projects   Kaggle competition :   • Kaggle Competitions   Mongodb with Python :   • MongoDb with Python   MySQL With Python :   • MYSQL Database With Python   Deployment Architectures:   • Deployment Architectures Discussions   Amazon sagemaker :   • Amazon SageMaker   --------------------------------------------------------------------------------------------------------------- Please donate if you want to support the channel through GPay UPID, Gpay: krishnaik06@okicici Telegram link: https://t.me/joinchat/N77M7xRvYUd403D... ------------------------------------------------------------------------------------------------------------- Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more    / @krishnaik06   ----------------------------------------------------------------------------------------------------------- Please do subscribe my other channel too    / @krishnaikhindi   --------------------------------------------------------------------------------------------------------- Connect with me here: Twitter:   / krishnaik06   Facebook:   / krishnaik06   instagram:   / krishnaik06