Language Weights for Teaching ML Skills
There are 462 languages in India and over 700 languages in Indonesia.
What is proposed is how this multitude of languages could be a teaching tool for machine learning skills, especially in terms of artificial neuron skills.
- Equip existing workers in India and Indonesia with country-appropriate and culturally-relevant digital literacy skills and vocational training opportunities
- My solution is being deployed or has plans to deploy in both India and Indonesia
The enormous number of languages in India and Indonesia could be a problem for technology skill training. This solution works on having this a resource instead.
Communities that could have been alienated by speaking a different language than the official language of the country.
The diversity of languages of India and Indonesia is something that could be considered a detriment for technology job skill training. However, the solution is able to use this a resource for technology job skill training.
- Prototype
Winston Grace
- A new application of an existing technology
It is a creative way to use what could be a detriment, the enormous number of languages in India and Indonesia, and allows it to be a benefit by means of incorporating the topic in an example for teaching the artificial neuron as well as for teaching technology job skills.
Machine Learning is the key technology that the program focuses on teaching by means of examples with the many languages of India and Indonesia.
- Artificial Intelligence / Machine Learning
- Behavioral Technology
The theory of change is that the solution teaches machine language with how a multitude of different languages in regions such as India and Indonesia can be a teaching tool, as well as a source of encouragement for small communities that may have a language on the verge of extinction. It encourages communities with small populations and unique languages by means of how languages can be a teaching tool for technology job skills.
- Women & Girls
- Children & Adolescents
- Elderly
- Rural
- Peri-Urban
- Urban
- Poor
- Low-Income
- Refugees & Internally Displaced Persons
- Minorities & Previously Excluded Populations
- Mid-Career Adult
- United States
The impact goal is for the proposed online course to reach the majority of regions of India and Indonesia.
The measurement would be the number of students and the diversity of the regions that the students are located in.
Language, oddly enough, is the key barrier to presenting the online course to various regions of India and Indonesia.
The goal would be to hire skilled translators for translating the online course into the many, many languages of India and Indonesia.
- Individual
Only one person.
The operational model is to provide value to communities in India and Indonesia in terms of using the diversity of languages as a means to learning technology job skills. For communities with languages that are the on the verge of extinction, this program could inspire value in these languages as learning tools.
- Individuals consumers
The solution could help many people in India and Indonesia.
- Human Capital (e.g. sourcing talent, board development, etc.)
- Public Relations (e.g. branding/marketing strategy, social and global media)
- Technology / Technical Support (e.g. software or hardware, web development/design, data analysis, etc.)
The solution would need translators as a key needed resource, for example.