Ml Algorithms
Real-Life Examples of Predictive Analytics
Predictive Models for Risk Assessment
Wildlife Monitoring Actions
Real-Life Examples of Predictive Analytics 
Predictive analytics involves using historical data, statistical
algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data
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Predictive Models for Risk Assessment 
Key trends shaping its future include: Integration of AI and Machine Learning: The use of advanced
algorithms and machine learning techniques is expected to enhance predictive accuracy and automate risk assessment processes
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Wildlife Monitoring Actions 
Use of Artificial Intelligence Artificial intelligence and machine learning
algorithms have the potential to automate data analysis, pattern recognition, and species identification in wildlife monitoring
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