- 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.
Define and describe Machine Learning in relationship to Big Data processing and analysis with examples.
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