Natural Language Processing — обробка природної мови. Онлайн курс

1. Intro NLP

2. Strings in Python. Pandas. Jupyter Notebook

3. Preprocessing. Regular expression

4. Scikit-learn. Bag-of-word. Byte-pair-encoding. TFIDF. LDA, LSA

5. Scikit-learn. Logistic Regression. Clustering

6. Minimum edit distance. TextDistance library

7. NLTK. Preprocessing

8. NLTK. Classification. Clustering

9. N-gram Language Model

10. Part of Speech Tagging. Markov Chains

11. Abstract Meaning Representation

12. FastAPI. Pydantic

• Word Embedding. PCA
• Word2Vec. Preprocessing
• Word2Vec. Euclidian distance. Cosine distance
• Word2Vec. Models
• K-nearest neighbors. Hash tables and hash functions. Locality sensitive hashing. Multiple Planes. Approximate nearest neighbors. Searching documents
• Spacy. Preprocessing
• Spacy. Models. Training models
• Spacy. NER. Sentencizer. TextCategorizer
• Spacy. Pipelines. Trasformers
• FastText

13. Scraping. Parsing. Beautiful Soup

• Neural networks intro. Keras
• CNN for text classification
• RNN. Char RNN. Word RNN
• Named Entity Recognition system using an LSTM
• Siamese networks
• Seq-to-Sec models
• Neural Machine Translation model with Attention
• HuggingFace. Transformers
• HuggingFace. Text Summarization. Question Answering

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