Discuss how you use math in your daily life|My course tutor

Posted: March 15th, 2023

Discuss how you use math in your daily life.  Give specific examples and discuss what type of math is used.  You are encouraged to think through not only your daily tasks but also your career and hobbies. Think broadly! Math is used in areas you would least expect!

Lastly, develop an affirmation for you to follow for your math class.

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Discussion Expectations:  

The minimum requirements for class discussions are to respond directly to the discussion prompt and to respond to at least two other posts, by other students or the instructor, by the end of the week. The discussion will close on the due date and will NOT be reopened for a late submission.

  1. Submit one main post responding directly to each part of the discussion prompt(s) by Thursday at 11:59 PM ET.
    • This should be a substantive response (between 75 -150 words minimum) to the topic(s) in your own words, referencing (using APA format) what you have discovered in your required reading and other learning activities.
    • You may use resources in addition to your textbook that support your post(s); however, you must mention the source(s) that you used in your post(s) using APA format in-text citations and reference lists. You can review APA formatting here: https://library.an.edu/apastyle  (Links to an external site.)Links to an external site.

2.  Reply to at least two posts (at least 50 words in length each) by Sunday at 11:59 PM ET.   Responses can be made to students or to your instructor.

3.  Responses to other individuals’ posts should:

  • Expand on their ideas.
  • Discuss the differences between your thoughts and theirs.
  • Explain why you agree or disagree.
  • Always remain respectful.

SOLUTION

  • Natural Language Processing: One of the key components of NLP is the use of statistical algorithms to analyze and understand natural language text. This involves the use of probability theory, linear algebra, and calculus to build models that can process and interpret large volumes of text data. Machine Learning: Machine learning is a branch of artificial intelligence that involves building models that can learn from data and make predictions or decisions based on that data. This involves the use of statistics, linear algebra, calculus, and optimization techniques to build and train models.

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