• Define and describe Machine Learning in relationship to Big Data processing and analysis with examples. 
• List and describe Neural Networks and Machine Learning models along with applicable areas and effectiveness to types of problems.
• List and describe different types of statistical methods that can be applied to Big Data analysis.
• Describe and compare different types of databases in terms of data visualizations. Provide detailed explanations and examples in contrast to each other.

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