- 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.
BY DAY 5 Respond to two or more of your colleagues’ posts in one or more of the following ways: Compare the good and poor listening behaviors
BY DAY 5 Respond to two or more of your colleagues’ posts in one or more of the following ways: Compare the good and poor listening behaviors identified in your post to the behaviors your colleague described. Suggest one or more strategies that your colleague could have used to improve