Please answer the following questions

Question Description

Course: Analyzing and Visualizing

Question 1: Create and post a graphic that illustrates your data visualization process/workflow. Detail and describe each step in your process/workflow procedure. Your process can/may be different than what is outlined in the readings.

Instructions:

Create a graphic and explain the steps

Details the explanation minimum of 200 words

Need 2 APA References

Question 2: Use the Graphic you created for Question 1 and address the following questions.

What does the visual represent?

What was its purpose?

Why did you compose the visual this way?

Who was your audience?

Instructions:

Need minimum 400 words (Each question 100 words)

Need minimum of 3 APA References

Course: Business Intelligence

Question 1: What is the relationship between Naïve Bayes and Bayesian networks? What is the process of developing a Bayesian networks model?

Instructions:

Need minimum 300 words

Need minimum of 3 APA References

Question 2: Most of the applications of deep learning today are developed using R – and/or Python based open source computing resources. Identify those resources (Frameworks such as Torch, Caffe, TensorFlow, Theano, Keras) available for building deep learning models and applications. Compare and contrast their capabilities and limitations. Based on your findings and understanding of these resources, if you were to develop a deep learning application, which one would you choose to employ? Explain and justify/defend your choice.

Instructions:

Need minimum 500 words

Need minimum of 3 APA References

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