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  1. Dictionary
    over-elaborate
    /ˌəʊvə(r)ɪˈlab(ə)rət/

    adjective

    • 1. excessively elaborate: "a courtly, over-elaborate speech"

    verb

    • 1. explain or treat in excessive detail: "if they don't over-elaborate the story I don't question it"

    More definitions, origin and scrabble points

  2. 6 days ago · Global warming, the phenomenon of rising average air temperatures near Earth’s surface over the past 100 to 200 years. Although Earth’s climate has been evolving since the dawn of geologic time, human activities since the Industrial Revolution have a growing influence over the pace and extent of climate change.

  3. Jul 30, 2024 · What Are Competencies? (With Examples and a Guide) Indeed Editorial Team. Updated July 30, 2024. If you want to be a more reliable employee, you may wonder the answer to" "What are competencies?" These competencies help you complete tasks and combine your knowledge with existing skills.

  4. en.wikipedia.org › wiki › IntelligenceIntelligence - Wikipedia

    1 day ago · Intelligence has been defined in many ways: the capacity for abstraction, logic, understanding, self-awareness, learning, emotional knowledge, reasoning, planning, creativity, critical thinking, and problem-solving.

  5. Jul 18, 2024 · SDLC is a process followed for software building within a software organization. SDLC consists of a precise plan that describes how to develop, maintain, replace, and enhance specific software. The life cycle defines a method for improving the quality of software and the all-around development process.

  6. en.wikipedia.org › wiki › PlanningPlanning - Wikipedia

    3 days ago · Planning gives more power over the future. Planning is deciding in advance what to do, how to do it, when to do it, and who should do it. This bridges the gap from where the organization is to where it wants to be.

  7. 5 days ago · Cross validation is a technique used in machine learning to evaluate the performance of a model on unseen data. It involves dividing the available data into multiple folds or subsets, using one of these folds as a validation set, and training the model on the remaining folds.