#chapter2
Project Cycle Stage 1 Problem Scoping Stage 2 Data Acquisition
3rd Stage Data Exploration 4th Modelling 5th Evaluation
4Ws of Problem Scoping Statement Template Project Stakeholder
Data Sources in AI Visualization Tools Learning-Based Approach
Rule-Based Approach Training Set Testing Set
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#artificialintelligence Intelligence
#AI Project
#Machine Learning
#datascience Science
#Data Preparation
#Data Collection
#aieducation Cleaning
#Data Analysis
Model Development
Model Training
Model Evaluation
Model Deployment
Algorithm Selection
Feature Engineering
Hyperparameter Tuning
Cross-Validation
Performance Metrics
Interpretability
Ethical AI
Data Privacy
Bias and Fairness
Validation and Testing
Version Control
Documentation
Project Management
#AIProjectCycle, #DataAcquisition, #DataCollection, #DataSourcing, #DataPreparation, #DataCleaning, #DataIntegration, #DataAnnotation, #DataLabeling, #DataAugmentation, #DataQualityAssurance, #DataExploration, #DataPipeline, #DataStorage, #DataGovernance, #DataPrivacy, #DataSecurity, #DataBias, #DataEthics, #DataCompliance.