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  2. 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.

  3. Analytics - Wikipedia

    en.wikipedia.org/wiki/Analytics

    Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.

  4. Web analytics - Wikipedia

    en.wikipedia.org/wiki/Web_analytics

    Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.

  5. Business intelligence - Wikipedia

    en.wikipedia.org/wiki/Business_intelligence

    Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...

  6. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Then, analyze the source data to determine the most appropriate data and model building approach (models are only as useful as the applicable data used to build them). Select and transform the data in order to create models. Create and test models in order to evaluate if they are valid and will be able to meet project goals and metrics.

  7. 2 AI Stocks That Could Supercharge Your Portfolio

    www.aol.com/finance/2-ai-stocks-could...

    Stock Advisor provides investors with an easy-to-follow blueprint for success, including guidance on building a portfolio, regular updates from analysts, and two new stock picks each month.

  8. HuffPost Data

    projects.huffingtonpost.com/projects

    Interactive maps, databases and real-time graphics from The Huffington Post

  9. Mobile web analytics - Wikipedia

    en.wikipedia.org/wiki/Mobile_Web_Analytics

    Collecting mobile web analytics data has proven to be less straightforward than traditional web analytics due to a few factors. Traditional analytics software on a mobile website only provides data for HTTP requests coming from the most advanced mobile browsers; such as those found in the iPhone and other smart phones and PDAs, with no data on other mobile devices browsing the site.