Robotics & Artificial Intelligence
Write short notes on Data Exploration.
AI Concepts
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Answer
Data Exploration refers to the initial step in data analysis where analysts use data visualisation and statistical techniques to describe characteristics of the dataset such as size, quantity and accuracy. It involves examining and analysing datasets to uncover patterns, trends and insights. The process includes data cleaning, transformation and preliminary statistical analysis. It helps analysts understand the structure of data and the relationships within the data, preparing it for more in-depth analysis and visualisation.
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Related Questions
Problem scoping is the first step in any AI project where we define and understand the problem thoroughly. This phase includes several important steps — Identifying the Problem, Defining Objectives, Understanding Stakeholders and Setting Constraints.
Based on the above paragraph, answer the following questions:
(a) Which aspect of Problem Scoping involves identifying everyone who will be affected by the project?
- Identifying the Problem
- Setting Constraints
- Choosing Algorithms
- Understanding Stakeholders
(b) What should be set to ensure that the AI project has measurable outcomes?
- Constraints
- Stakeholder roles
- Objectives
- Data collection methods
(c) …………… is the process of determining any limitations, such as budget or time, that may affect the AI project.
(d) …………… involves identifying everyone who will be involved in or affected by the project.
Write short notes on Problem Scoping.
Write short notes on Data Visualisation.
Write short notes on Histogram.