The Machine Learning and Natural Language Processing training course provides a foundational understanding of Machine Learning (ML) and Natural Language Processing (NLP).
This course begins by demonstrating techniques that can be used to solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. Next, practice exercises give hands-on experience in implementing ML models on real datasets. The course concludes by demonstrating how to implement ML algorithms with TensorFlow and other open source libraries used by leading tech companies in the ML field.
This course is designed for individuals with existing development experience.
Purpose
|
Learn to implement ML techniques for Natural Language comprehension, sentiment analysis, topic discovery, etc. |
Audience
|
Developers and developer teams wanting to work more with NLP. |
Role
| Data Engineer - Data Scientist - Software Developer |
Skill Level
| Intermediate |
Style
| Fast Track - Targeted Topic - Workshops |
Duration
| 2 Days |
Related Technologies
| Artificial Intelligence | Natural Language Processing | Tensorflow |
Productivity Objectives
- Examine the problems associated with natural language processing
- Describe the basic techniques used in natural language processing (e.g., text classification, clustering, semantic analysis, sentiment analysis, topic discovery)
- Create a chatbot