Spark NLP for Data Scientists

سرفصل های دوره

Unlock your NLP power with Spark NLP, the most popular NLP library in enterprises

1. Spark NLP Overview

1.1 John Snow Labs main website.html

1. Spark NLP for Data Scientists overview

2. Spark NLP Course Structure

2. Text Preprocessing - Text Normalization with Spell Checker

1.1 Blog post.html

1.2 Notebook.html

1. Context Spell Checker part 1

2.1 Blog post.html

2.2 Notebook.html

2. Context Spell Checker part 2

3.1 Blog post.html

3.2 Notebook.html

3. Context Spell Checker part 3

4.1 Blog post.html

4.2 Notebook.html

4. Context Spell Checker part 4

5.1 Blog Post.html

5.2 Notebook.html

5. NorvigSweeting Spellchecker

6.1 Blog Post.html

6.2 Notebook.html

6. SymmetricDelete Spellchecker

3. Text Processing - Extracting and Normalizing the Dates

1.1 Blog post.html

1.2 Notebook.html

1. Date Matcher

2.1 Blog Post.html

2.2 Notebook.html

2. MultiDateMatcher

4. Text Preprocessing - NGram Generation

1.1 Notebook.html

1. NGramGenerator

5. Text Preprocessing - Stemming and Lemmatizing

1.1 Notebook.html

1. Lemmatizer

2.1 Notebook.html

2. Stemmer

6. Text Preprocessing Models

1.1 Blog Post.html

1.2 Notebook.html

1. SentenceDetectorDL

2.1 Blog post.html

2.2 Notebook.html

2. Normalizer

3. StopWordsCleaner

7. Text cleaning with DocumentNormalizer

1.1 Blog Post.html

1.2 Notebook.html

1. DocumentNormalizer

8. Text Preprocessing - Text tokenization with Tokenizer

1.1 Notebook.html

1. Tokenizer

2.1 Extended examples of usage.html

2.2 Notebook.html

2.3 Regex Tokenizer Scala Docs.html

2.4 RegexTokenizer Documentation.html

2.5 RegexTokenizer Python Docs.html

2. RegexTokenizer

3.1 Notebook.html

3. ChunkTokenizer

4.1 Notebook.html

4. TokenAssembler

9. Information Extraction - Keyword Extraction

1.1 Academic Paper.html

1.2 Documentation.html

1.3 Extended examples of usage.html

1.4 Python Doc.html

1.5 Scala Doc.html

1. YAKE keyword extractor

10. Information Extraction with Regular Expression

1.1 Documentation.html

1.2 Extended examples of usage.html

1.3 Notebook.html

1.4 Python Doc.html

1.5 Scala Doc.html

1. RegexMatcher

11. Information Extraction with Text-based models

1.1 Blog Post.html

1.2 Notebook.html

1. TextMatcher and BigTextMatcher

12. Dependency Parsing and Coreference Resolution with DependecyParser

1.1 Blog Post.html

1.2 Dependency Parser.html

1.3 Documentation.html

1.4 Extended examples of usage.html

1.5 Notebook.html

1.6 Python Doc.html

1.7 Scala Doc.html

1. Dependency Parser

2.1 Blog Post.html

2.2 Notebook.html

2. POS Tagger

3.1 Notebook.html

3. Chunker

13. Information Extraction - Graph-based Information Extraction

1.1 Notebook.html

1. GraphExtraction

14. Coreference Resolution with SpanBertCoref

1.1 Blog Post.html

1.2 Notebook.html

1. SpanBertCoref

15. Text Representation with Embeddings and Vectorization - Word Embeddings

1.1 Blog Post.html

1.2 Notebook.html

1. Word2Vec

2.1 Blog Post.html

2.2 Notebook.html

2. WordEmbeddings part 1

3.1 Blog Post.html

3.2 Notebok.html

3. WordEmbeddings part 2

16. Text Representation with Embeddings and Vectorization - Sentence Embeddings

1.1 Doc2Vec Blogpost.html

1.2 doc2vec gigaword 300 model.html

1.3 doc2vec gigaword wiki 300 model.html

1.4 Notebook.html

1. Doc2Vec

2.1 Blog Post.html

2.2 Notebook.html

2. Chunk Embeddings

3.1 Blog Post.html

3.2 Notebook.html

3. SentenceEmbeddings

4.1 Notebook.html

4. UniversalSentenceEncoder

5.1 Another example of Word Embeddings.html

5.2 Notebook.html

5. Embeddings Finisher

17. Text Representation with Embeddings and Vectorization with Transformers

1.1 Extended example.html

1.2 Notebook.html

1.3 Python Documentation.html

1.4 Scala Documentation.html

1. Transformers-based Embeddings Part 1

2.1 Notebook.html

2. Transformers-based Embeddings Part 2

3. Embeddings Finisher

18. Sentiment Analysis

1.1 Blog Post.html

1.2 Notebook.html

1. ViveknSentiment

2.1 Blog Post.html

2.2 Notebook.html

2. SentimentDL

3.1 Blog Post.html

3.2 Notebook.html

3. SentimentDetector

19. Text Classification with Transformers

1.1 Documentation.html

1.2 Extended Example.html

1.3 Notebook.html

1.4 Python Documentation.html

1.5 Scala Documentation.html

1. Bert for Sequence Classification Part 1

2.1 Notebook.html

2. Bert for Sequence Classification Part 2

3.1 Notebook.html

3. Sentence Embeddings with Transformers Part 1

4.1 Notebook.html

4. Sentence Embeddings with Transformers Part 2

20. Text Classification - Training Text Classification models with ClassifierDL

1.1 Blog Post.html

1.2 Notebook.html

1. ClassifierDLApproach

2.1 Blog Post.html

2.2 Notebook.html

2. ClassifierDLModel

3.1 Blog Post.html

3.2 Notebook.html

3. MultiClassifierDL

21. Named Entity Recognition (NER)- Rule-based NER with EntityRuler

1.1 Blog Post.html

1.2 Notebook.html

1. EntityRuler

22. Named Entity Recognition (NER) - NER with BiLSTM-CNN-Char architecture

1.1 Blog Post.html

1.2 Notebook.html

1. NerDLModel and NerConverter

2.1 Blog Post.html

2.2 Notebook.html

2. NerOverwriter

23. Named Entity Recognition (NER) - Visualizing the Named Entities

1.1 Blog Post.html

1.2 Notebook.html

1. NerVisualizer

24. Named Entity Recognition (NER) - Training custom NER models with NerDLApproach

1.1 Blog Post.html

1.2 Notebook.html

1. NerDLApproach

2.1 Blog Post.html

2.2 Notebook.html

2. TFNerDLGraphBuilder

3.1 Blog Post.html

3.2 Notebook.html

3. CoNLL Preparation for NER

25. Named Entity Recognition (NER) - Conditional Random Fields for NER with NerCrf

1.1 Blog Post.html

1.2 Notebook.html

1. NerCrf

26. Named Entity Recognition (NER) - NER with Bert for Token Classification

1.1 Bert for Token Classification Medium Post.html

1.2 Bert for Token Classification Notebook.html

1.3 Documentation.html

1.4 Extended Example.html

1.5 Python Documentation.html

1.6 Scala Documentation.html

1. Bert for Token Classification Part 1

2.1 Bert for Token Classification Notebook.html

2. Bert for Token Classification Part 2

27. Question Answering from Text with Transformers

1.1 Documentation.html

1.2 Extended examples of usage.html

1.3 Notebook.html

1.4 Sclala Doc.html

1. Question Answering with Transformers

2.1 Blog Post.html

2.2 Notebook.html

2. MultiDocumentAssembler

28. Question Answering from Tables with TAPAS

1. Tapas For Question Answering

29. Multilingual NLP - Word segmentation with WordSegmenter

1.1 Blog Post.html

1.2 Notebook.html

1. WordSegmenter

30. Multilingual NLP - Multilingual machine translation with MarianTransformer

1.1 Notebook.html

1. MarianTransformer

31. Multilingual NLP - Language Detection with LanguageDetectorDL

1.1 Blog Post.html

1.2 Notebook.html

1. LanguageDetectorDL

32. Advanced Topics - Image Classifiation with VIT

1.1 Documentation.html

1.2 Extended Examples of Usage.html

1.3 Notebook.html

1.4 Python Doc.html

1.5 Scala Doc.html

1. ImageAssembler

2.1 Notebook.html

2. ViTForImageClassification

33. Advanced Topics- Leveraging the T5 model for NLP (T5Transformer)

1.1 Notebook.html

1. T5Transformer

34. Advanced Topics - Speech-to-Text Conversion

1. Wav2VecForCTC Part 1

2. Wave2VecForCTC Part 2

35. Utility Tools & Annotators

1.1 Notebook.html

1. LightPipeline

2. Token2Chunk

3.1 Notebook.html

3. PretrainedPipeline

4.1 Notebook.html

4. DocumentAssembler

5.1 Notebook.html

5. Finisher

6.1 Notebook.html

6. Doc2Chunk

7.1 Notebook.html

7. Chunk2Doc

8.1 Notebook.html

8. GPT2Transformer

45,900 تومان

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خرید دانلودی فوری

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تولید کننده: Udemy-Training