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

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

    Machine learningand data mining. 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 ...

  3. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  4. Amazon (company) - Wikipedia

    en.wikipedia.org/wiki/Amazon_(company)

    Amazon derives many of its sales (around 40% in 2008) from third-party sellers who sell products on Amazon. [78] Some other large e-commerce sellers use Amazon to sell their products in addition to selling them through their websites.

  5. Café Amazon - Wikipedia

    en.wikipedia.org/wiki/Café_Amazon

    Malaysia (1 branch) Vietnam (4 branches) Saudi Arabia (1 branch) [citation needed] Parent. PTT Group. Website. cafe-amazon.com. Café Amazon ( Thai: คาเฟ่ อเมซอน) is a Thai chain of coffee shops owned by PTT Public Company Limited. The cafes are primarily found inside of malls, in city centers, and gas stations.

  6. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    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.

  7. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined ...

  8. Amazon Prime Day is July 16-17: Here’s how Google plans to ...

    www.aol.com/finance/google-shopping-exec-spent...

    After wading through multipacks on Amazon’s search results page, I found a single filter for sale. It cost around $18. That’s quite high, so I turned to Google.

  9. Marketing mix modeling - Wikipedia

    en.wikipedia.org/wiki/Marketing_mix_modeling

    Marketing mix modeling (MMM) is an analytical approach that uses historic information to quantify impact of marketing activities on sales. Example information that can be used are syndicated point-of-sale data (aggregated collection of product retail sales activity across a chosen set of parameters, like category of product or geographic market) and companies’ internal data.