Big data analysis : new algorithms for a new societySpringer
Big data analytics functions through a meticulous process involving the collection, preparation, analysis, and visualization of data. Data from various sources is consolidated and cleansed to ensure accuracy. Sophisticated algorithms then analyze this curated data, extracting actionable insights. Finally, da...
Predictive analytics technology uses data, statistical algorithms and machine-learning techniques to identify the likelihood of future outcomes based on historical data. It's all about providing the best assessment of what will happen in the future, so organizations can feel more confident that they'...
Along with additional tools and libraries, big data frameworks can be used for: Predictive modeling by incorporating artificial intelligence (AI) and statistical algorithms Statistical analysis for in-depth data exploration and to uncover hidden patterns What-if analysis to simulate different scenarios ...
3.1 big data visualization 3.2 big data product and services 3.3 big data application In the big data application, the relevant principles and algorithms are explained, taking two typical big data applications of recommendation system and social network as an example. ...
Predictive modeling by incorporatingartificial intelligence(AI) and statistical algorithms Statistical analysis for in-depth data exploration and to uncover hidden patterns What-if analysis to simulate different scenarios and explore potential outcomes
visualizationbivuedragdata-visualizationbusiness-intelligencedata-analysisechartselement-uino-codebig-data-analyticsdata-analysis-boarddataboard UpdatedNov 10, 2023 Vue mahmoudparsian/pyspark-tutorial Star1.2k Code Issues Pull requests PySpark-Tutorial provides basic algorithms using PySpark ...
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Big data analytics is a form of advanced analytics that involves more complex methods that include elements such as predictive models, statistical algorithms and what-if analysis powered by analytics systems. An example of big data analytics can be found in the healthcare industry, where millions ...
Predictive modeling by incorporatingartificial intelligence(AI) and statistical algorithms Statistical analysis for in-depth data exploration and to uncover hidden patterns What-if analysis to simulate different scenarios and explore potential outcomes