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Kaggle is a data science competition platform and online community of 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. Kaggle has operated across a range of fields, including mapping dark matter [2] and HIV ...
These datasets are used in machine learning (ML) research and have been cited in peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning ), computer hardware, and, less-intuitively, the availability of ...
Jeremy Howard (born 13 November 1973) is an Australian data scientist, entrepreneur, and educator. [1] He is the co-founder of fast.ai, where he teaches introductory courses, [2] develops software, and conducts research in the area of deep learning. Previously he founded and led Fastmail, Optimal Decisions Group, and Enlitic.
Kaggle Competition: Kaggle, a website that serves as a platform for machine learning competitions, is launched. 2011: Achievement: Beating Humans in Jeopardy: Using a combination of machine learning, natural language processing and information retrieval techniques, IBM's Watson beats two human champions in a Jeopardy! competition. 2012: Achievement
Kegel exercise, also known as pelvic floor exercise, involves repeatedly contracting and relaxing the muscles that form part of the pelvic floor, now sometimes colloquially referred to as the "Kegel muscles". The exercise can be performed many times a day, for several minutes at a time but takes one to three months to begin to have an effect.
Global Energy Forecasting Competition. The Global Energy Forecasting Competition ( GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy demand. [1] GEFCom was first held in 2012 on Kaggle, [2] and the second GEFCom was held in 2014 on CrowdANALYTIX.
CIFAR-10 is a set of images that can be used to teach a computer how to recognize objects. Since the images in CIFAR-10 are low-resolution (32x32), this dataset can allow researchers to quickly try different algorithms to see what works. CIFAR-10 is a labeled subset of the 80 Million Tiny Images dataset from 2008, published in 2009.