Orange Data Mining
Data Mining Fruitful and FunOpen source machine learning and data visualization. Download Orange 3.37.0 May 30, 2024 Document embeddings vs. Bag of wordsWhen to use document embeddings instead of a bag of words. May 14, 2024 Orange Data Mining uses the fastest t-SNE implementation in PythonJournal of Statistical Software published a paper describing our state-of-the-art implementation openTSNE. Ap
Data Visualisation Resources - Visualising Data
The entries listed below are organised within each category alphabetically. The thumbnail images are manually prepared, which means some may be a little outdated but their role is largely decorative/indicative. Click on the tiles to visit the vendor or associated website, you can also access a read-only Google Sheets dataset presenting the same list of contents. There are no affiliate links or com
Piano • Socialflow: Amplify your content with AI-powered publishing
Effortlessly amplify your content with AI-powered social publishing Grow and engage your audience through real-time data and machine-learning optimization, guiding your content to just the right place in the social conversation. Load up the queue, let AI do the rest By analyzing post content and audience behavior across millions of posts and thousands of social pages, Socialflow by Piano’s AI-powe
Top Data Science Tools for 2022 - KDnuggets
DuckDB DuckDB is a relational table-oriented database management system that supports SQL queries for generating data analytics. It was designed to run faster analytical queries workloads. It also provides integration for R, Python, and Java. You can integrate it with your current data stack to produce analytical results. I usually use it for running analytics on .csv files and storing web app log
must.c.u-tokyo.ac.jp - 動向情報の要約と可視化に関するワークショップ
研究課題「動向情報の要約と可視化」について，共通の素材を用いて協調的かつ競争的に研究を進めていくワークショップを提案いたします． 動向情報とは，幾つかの統計量の時系列データを基として，その変化を通時的にとらえつつ，それらを単に羅列するのではなく，総合的にまとめ上げることで得られるもので，ある商品の価格や売上の状況，ある会社の業績状況，内閣や政党の支持状況等がその典型です． 動向情報への関心に，簡潔で平易な文章や視覚的なグラフで，もしくはそれらを協調させたマルチメディアプレゼンテーションで答えるための技術の確立が研究の目的です．その研究は情報可視化を含めた広い意味での情報アクセス技術に関する研究開発を様々な点で牽引すると考えます． ワークショップの目的は，共通のデータを用いて，緩い意味で共通の課題に取り組むことによる議論と研究の活性化，ツールやコーパス類の蓄積です． 皆様，ふるってご参加くだ
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View of Fashion informatics and the network of fashion knockoffs | First Monday
Publications
Alex Endert
Krist Wongsuphasawat | Publications
Chicisimo’s Social Fashion Graph | Chicisimo
Jonathan Jennings Harris