Maya Language Skill & ML Learning Skills
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The document proposes an online course that teaches machine learning skills by drawing parallels to characteristics of the Maya language. Specifically, it would highlight split-ergativity, where subjects are marked differently based on their involvement in an action. This grammatical structure similarly exists in other languages like Pashto. The course would explain how split-ergativity in Maya relates to the separation of training and testing data in machine learning cross-validation. This would help promote appreciation for Native American languages while imparting data analysis job skills.
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For Upcoming Meetups Join Mysore Meetup Group - https://meetups.mulesoft.com/mysore/YouTube:- youtube.com/@mulesoftmysore
Mysore WhatsApp group:- https://chat.whatsapp.com/EhqtHtCC75vCAX7gaO842N
Speaker:-
Shivani Yasaswi - https://www.linkedin.com/in/shivaniyasaswi/
Organizers:-
Shubham Chaurasia - https://www.linkedin.com/in/shubhamchaurasia1/
Giridhar Meka - https://www.linkedin.com/in/giridharmeka
Priya Shaw - https://www.linkedin.com/in/priya-shaw
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- 1. MAYA LANGUAGE SKILL & ML LEARNING SKILLS A brief proposal for an online course
- 2. The goal of this project is to create job skills based on the unique characteristics found in the languages of the Native American communities. This can also encourages the appreciation of the language as well.
- 3. The key characteristic that is presented is what is called the split-ergativity in Maya, and how it can help one to learn machine learning as wells data analytic skills in general.
- 4. Other languages have this characteristic as well, ranging from some of the Australasian languages to Pashto which is found in Afghanistan and Pakistan.
- 5. -The computer provides the data analytics. The above refers to process and the computer, a machine, creating an action. I will return to this idea and here are examples of split-ergativity in English:
- 6. The glass breaks as I tap the glass with a hammer and nail. In Maya, there would be essentially have a special marker for the words in bold above, the ergative words.
- 7. From the above, two analogies can be presented:
- 8. As an inanimate object like a computer generating a result is separate to the procedure of preparing data in machine learning…
- 9. …so are sentences with the ergative separate to sentences describing procedures in Maya.
- 10. FINAL NOTE: CROSS VALIDATION • As Maya has the split-ergative, so does Cross Validation in Machine Learning have essentially a split between training and testing data. This analogy will be explained in more detail in the online course. Training Data Testing Data
- 11. This was a brief presentation for a proposed online course. Thank you for viewing the presentation.