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Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Anthony John Goldbloom (born 21 June 1983) is the founder and former CEO of Kaggle, a data science competition platform which has used predictive modelling competitions to solve data problems for companies, such as NASA, Wikipedia, [1] Ford and Deloitte.
Research has been completed on how competition can improve research performance. Companies like JPMorgan Chase also run internal contests involving large numbers of employees. [2] Examples of data science competition platforms include Bitgrit, [3] Correlation One, Kaggle, InnoCentive, Microprediction, [4] AIcrowd, [5] and Alibaba Tianchi. [6]
Maintained by Unacademy, it hosts a 3-day-long contest and a couple of short contests every month (one IOI styled called Lunchtime and another ICPC styled called Cook-Off), and provides a contest hosting platform to educational institutions for free. The top two winners of the long contest win cash prizes while the top 10 global get a t-shirt.
10-second sound snippets from YouTube videos, and an ontology of over 500 labels. 128-d PCA'd VGG-ish features every 1 second. 2,084,320 Text (CSV) and TensorFlow Record files Classification 2017 [148] J. Gemmeke et al., Google Bird Audio Detection challenge Audio from environmental monitoring stations, plus crowdsourced recordings 17,000+
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
LaMDA (Language Model for Dialogue Applications) is a family of conversational large language models developed by Google.Originally developed and introduced as Meena in 2020, the first-generation LaMDA was announced during the 2021 Google I/O keynote, while the second generation was announced the following year.
The winners reserve "bragging rights" to claim that their language is "the programming tool of choice for discriminating hackers". As such, one of the competition's goals is to showcase the capabilities of the contestants' favorite programming languages and tools. Previous first prize winners have used Haskell, OCaml, C++, Cilk, Java, F#, and Rust.