Course 1 of the Natural Language Processing Specialization offers a comprehensive learning experience in various NLP techniques and applications.
- Perform sentiment analysis on tweets using logistic regression and naïve Bayes algorithms.
- Utilize vector space models to uncover word relationships, employ PCA for dimensionality reduction, and visualize these relationships.
- Develop an English-to-French translation algorithm employing pre-computed word embeddings and locality-sensitive hashing for approximate k-nearest neighbor search.
By completing this specialization, learners will acquire the skills to design and implement NLP applications. These applications include question-answering systems, sentiment analysis tools, language translation algorithms, text summarization tools, and chatbots.
🆓 Free to Audit
🕒 Approx. 34 Hours
📈 Intermediate Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by DeepLearning.AI via Coursera
