Select one concept of data analytics fundamentals as your annotated bibliography topic. This concept must pertain to probability distribution or linear algebra, but not both. Be as precise as possible with the topic. For example, the topic “probability” is too general. Instead, narrow your selection to something more specific such as “bayesian rule” or “Gaussian distribution” or “binomial distribution” or “Poisson distribution”, etc.
Once the topic is selection, complete the following 3 tasks:
1. Explain the motivation for the chosen topic, followed by at most 2 research questions to be answered through your annotated bibliography. You must also explain in detail the methodology you will use for searching the bibliographic sources. These should not exceed 1 page.
2. Carefully search and compile your sources. You are required to incorporate exactly 5 sources in your annotated bibliography.
3. For each of the selected sources, produce your annotated bibliography. This should include but not limited to the details below. The annotated bibliography for each source should not exceed 1 page.
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