Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 34 Minute(s)
Language
English
Taught by
Ace Vo, David Talby, Jiri Dobes, Veysel Kocaman
Rating
3 views
Course Overview
Unlock your NLP power with Spark NLP, the most popular NLP library in enterprises
Welcome to the Spark NLP for Data Scientist course!
This course will walk you through building state-of-the-art natural language processing (NLP) solutions using John Snow Labs’ open-source Spark NLP library. Our library consists of more than 20,000 pretrained models with 250 plus languages. This is a course for data scientists that will enable you to write and run live Python notebooks that cover the majority of the open-source library’s functionality. This includes reusing, training, and combining models for NLP tasks like named entity recognition, text classification, spelling & grammar correction, question answering, knowledge extraction, sentiment analysis and more.
The course is divided into 11 sections: Text Processing, Information Extraction, Dependency Parsing, Text Representation with Embeddings, Sentiment Analysis, Text Classification, Named Entity Recognition, Question Answering, Multilingual NLP, Advanced Topics such as Speech to text recognition, and Utility Tools &Annotators. In addition to video recordings with real code walkthroughs, we also provide sample notebooks to view and experiment. At the end of the cost, you will have an opportunity to take a certification, at no cost to you.
The course is also updated periodically to reflect the changes in our models.
Looking forward to seeing you in the class, from all of us in John Snow Labs.
Course Content
- 10 section(s)
- 78 lecture(s)
- Section 1 Spark NLP Overview
- Section 2 Text Preprocessing - Text Normalization with Spell Checker
- Section 3 Text Processing - Extracting and Normalizing the Dates
- Section 4 Text Preprocessing - NGram Generation
- Section 5 Text Preprocessing - Stemming and Lemmatizing
- Section 6 Text Preprocessing Models
- Section 7 Text cleaning with DocumentNormalizer
- Section 8 Text Preprocessing - Text tokenization with Tokenizer
- Section 9 Information Extraction - Keyword Extraction
- Section 10 Information Extraction with Regular Expression
What You’ll Learn
- Utilize 20,000+ State-of-the-Art NLP models in 200+ languages
- Train & tune your own NLP models by leveraging the Spark NLP's pre-defined classifier architecture on your own datasets
- Perform popular NLU tasks in one line of code - like generate texts, summarize texts, answer questions
- Deploy models as API's with NLP Server, a Docker container that contains all Spark NLPs capabilities
Skills covered in this course
Reviews
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BBjörn Eriksson
At last a course in spark-nap
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JJay Allan Gil Cardenas
Great course. Comprehensive material to learn this important library. Recommended.
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GGeoffrey Glaser
The course was very educational. It is a lot of information and should be broken up over a time period with periodic quizzes to ensure comprehension..
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YYigit
that is amazing course. this program provided a practical and insightful journey into the world of data science. Highly recommended for anyone looking to gain or enhance their skills in NLP.
