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  2. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle has implemented a progression system to recognize and reward users based on their contributions and achievements within the platform. This system consists of five tiers: Novice, Contributor, Expert, Master, and Grandmaster. Each tier is achieved by meeting specific criteria in competitions, datasets, kernels (code-sharing), and discussions.

  3. Anthony Goldbloom - Wikipedia

    en.wikipedia.org/wiki/Anthony_Goldbloom

    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.

  4. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Kaggle Competition: Kaggle, a website that serves as a platform for machine learning competitions, is launched. [42] 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. [43 ...

  5. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Record of user interactions with Entree Chicago recommendation system. Details of each user's usage of the app are recorded in detail. 50,672 Text Regression, recommendation 2000 [477] R. Burke Insurance Company Benchmark (COIL 2000) Information on customers of an insurance company. Many features of each customer and the services they use ...

  6. XGBoost - Wikipedia

    en.wikipedia.org/wiki/XGBoost

    XGBoost [2] (eXtreme Gradient Boosting) is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python, [3] R, [4] Julia, [5] Perl, [6] and Scala.

  7. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series.

  8. Martingale (probability theory) - Wikipedia

    en.wikipedia.org/wiki/Martingale_(probability...

    In probability theory, a martingale is a sequence of random variables (i.e., a stochastic process) for which, at a particular time, the conditional expectation of the next value in the sequence is equal to the present value, regardless of all prior values.

  9. Fundus photography - Wikipedia

    en.wikipedia.org/wiki/Fundus_photography

    Fundus photographs are ocular documentation that record the appearance of a patient's retina. Optometrists, ophthalmologists, orthoptists and other trained medical professionals use fundus photography for monitoring the progression of certain eye condition/diseases.