Chat with us, powered by LiveChat Assignment: Provide a reflection of at least 500 wor - Study Help

Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.?


Provide a 500 word (or 2 pages double spaced) minimum reflection.

Use of proper APA formatting and citations. If supporting?evidence from outside?resources is used those must be properly cited.

Share a personal connection?that identifies specific knowledge and theories from this course.

Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment.?

You should NOT, provide an overview of the?assignments assigned in the course. The assignment asks?that you reflect how the knowledge and skills obtained through meeting course objectives were?applied or could be applied in the workplace.??????????

Syllabus below

Lesson 1:?Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence?

Lesson 2:?Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications?

Lesson 3: Nature of Data, Statistical Modeling, and Visualization

Lesson 4: Data Mining Process, Methods, and Algorithms

Lesson 5: Machine-Learning Techniques for Predictive Analytics?

Lesson 6: Deep Learning and Cognitive Computing?

Lesson 7: Text Mining, Sentiment Analysis, and Social Analytics?

Lesson 9: Prescriptive Analytics: Optimization and Simulation?

Lesson 10: Big Data, Cloud Computing, and Location Analytics?

Lesson 11: Robotics

Lesson 12:?Group Decision Making, Collaborative Systems, and AI Support?

Lesson 13: Knowledge Systems?

Lesson 15: The Internet of Things as a Platform of Intelligent Applications?

Lesson 16: Implementation Issues

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