AI MACHINE LEARNING
Issued by
Louisiana State University Shreveport
The earner has completed over 300 hours of self-paced training, learning key concepts and models and practical programming skills in Python and ML. Earner has gained knowledge in AI and ML definitions, history, current state, goals, types of models, and more. Earner has also explored applied Natural Language Processing (NLP).
- Type Validation
- Level Intermediate
- Time Months
- Cost Paid
Skills
Earning Criteria
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Earner has explored simple correlation, simple tests, selecting a training data set, cross-validation, and regression models.
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Earner has explored common ML models such as random forests and ensemble models.
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Earner has explored development of neural networks and is able to apply them in a practical way.
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70% or better success rate on course materials.
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Successful Completion of Final Capstone Project.