Python tutorials

Generalized Entity Matching with Machop

Real-world applications frequently seek to solve a general form of the Entity Matching (EM) problem to find associated entities. Such scenarios, which we call Generalized Entity Matching (GEM), include matching jobs to candidates in job targeting, matching students with courses in online education, matching products with user reviews on e-commercial websites, and beyond. These tasks impose new requirements such as matching data entries with diverse formats or having a flexible and semantics-rich matching definition. Scenarios like these are    

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Haystack: Finding passion in NLP

Big language models are a new trend that is about to launch and influence NLP and search engines. NLP with advances in Deep Learning is getting behind fascinating use cases, like question answering in healthcare and finance. Haystack platform enables you to create flexible search pipelines, starting with document conversions (say, pdf to text), extracting metadata useful for search & filter later, proceeding to semantic indexing and similarity matching. You can combine sparse retrieval with dense search, all    

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How to Replace a String in Python

If you’re looking for ways to remove or replace all or part of a string in Python, then this tutorial is for you. You’ll be taking a fictional chat room transcript and sanitizing it using both the .replace() method and the re.sub() function. In Python, the .replace() method and the re.sub() function are often used to clean up text by removing strings or substrings or replacing them. In this tutorial, you’ll be playing the role of a developer for a […]

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