The "Natural Language Processing" course provides a thorough introduction to techniques for analyzing and processing human language. Covering key concepts such as text processing, sentiment analysis, and machine translation, the course combines theoretical insights with practical applications using popular NLP tools and frameworks. Students will develop skills to implement and evaluate NLP models, including advanced methods like transformer models, preparing them for real-world challenges in data science and AI.
Learn moreHas discount |
![]() |
||
---|---|---|---|
Expiry period | Lifetime | ||
Made in | English | ||
Last updated at | Tue Jul 2024 | ||
Level |
|
||
Total lectures | 98 | ||
Total quizzes | 0 | ||
Total duration | 17:13:31 Hours | ||
Total enrolment |
![]() |
||
Number of reviews | 25 | ||
Avg rating |
|
||
Short description | The "Natural Language Processing" course provides a thorough introduction to techniques for analyzing and processing human language. Covering key concepts such as text processing, sentiment analysis, and machine translation, the course combines theoretical insights with practical applications using popular NLP tools and frameworks. Students will develop skills to implement and evaluate NLP models, including advanced methods like transformer models, preparing them for real-world challenges in data science and AI. | ||
Outcomes |
|
||
Requirements |
|