21 Aug Please read the question and attached pdf first and then sta

Please read the question and attached pdf first and then start work on my question and dont forget to add referenceData mining is the exploration and analysis of large data to discover meaningful patterns and rules. Data mining aims to predict future outcomes. Additionally, data mining techniques are used to build machine learning (ML) models that power modern artificial intelligence (AI) applications such as search engine algorithms and recommendation systems.Benefits of Data Mining:Automated Decision-MakingAccurate Prediction and ForecastingCost ReductionCustomer InsightsWhile a powerful process, data mining is hindered by the increasing quantity and complexity of big data. Where exabytes of data are collected by firms every day, decision-makers need ways to extract, analyze, and gain insight from their abundant repository of data.Data mining has two primary processes: supervised and unsupervised learning. Data mining software is a tool to convert raw and unstructured data into useful information in order to optimize the decision making ability. This software offers enterprises an ability of predictive analysis which helps them forecasting marketing strategy and consumers behavior. Steps involved in data mining include data collection, data processing and then software sort the data depending on user’s result in the form of graph or table.To do:Read the data mining paperWatch the two insightful videosParticipate early and often in the discussion forum!As always, please reach out with any questions/concerns/issues.There is much discussion regarding Data Analytics and Data Mining. Sometimes these terms are used synonymously but there is a difference. What is the difference between Data Analytics vs Data Mining? Please provide an example of how each is used. Also explain how you may use data analytics and data mining in a future career. Lastly, be sure to utilize at least one scholarly source from either the UC library or Google Scholar. Please make your initial post and two response posts substantive. A substantive post will do at least TWO of the following:Ask an interesting, thoughtful question pertaining to the topicAnswer a question (in detail) posted by another student or the instructorProvide extensive additional information on the topicExplain, define, or analyze the topic in detailShare an applicable personal experienceProvide an outside source (for example, an article from the UC Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)Make an argument concerning the topic.At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.