Course Description
This course covers several important machine learning algorithms for natural language processing, including decision trees, k-Nearest Neighbors, Naive Bayes, transformation-based learning, Support Vector Machines, Maximum Entropy and Conditional Random Fields. Students will implement many of the algorithms and apply these algorithms to NLP tasks.
$9000
- Date
- Days of the Week
- Time
- Duration
- Hours/CEUs
- Apr 01 - Apr 30, 2025
- Mon-Tue-Wed-Thu
- 7:00 AM - 8:30 AM (CST)
- 18 Days
- 64 hours / 6.4 CEUs
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