Components of the AI Project Framework

Robotics and Artificial Intelligence · Chapter 8 · Part II, 3. Components of AI Project Framework

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Problem scoping: factors affecting the problem, goal, the 4Ws (who, what, where, why) and the problem statement
Data acquisition: types of data, data features, sources, training and testing data, system maps
Sources of datasets for AI, including public dataset platforms
Data exploration: bar graphs, histograms, line graphs, scatter plots and pie charts
Modelling: rule-based and learning-based approaches; supervised and unsupervised learning
Prediction with linear regression; evaluation of a model