SpaCy, a fast, user-friendly library for teaching computers to understand text, simplifies NLP techniques, such as speech tagging and syntactic dependencies, so you can easily extract information, attributes, and objects from massive amounts of text to then document, measure, and analyze. This Learning Path is a hands-on introduction to using SpaCy to discover insights through natural language processing. While end-to-end natural language processing solutions can be complex, you’ll learn the linguistics, algorithms, and machine learning skills to get the job done.
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The need for building highly performant and maintainable user interfaces is now greater than ever. React, a library designed and developed by Facebook, can solve many of the existing problems users face today–including poor browser performance while handling dynamic interactions with high loads of data. React also solves a lot of challenges for front-end developers. Due to its popularity, other supporting frameworks, such as Redux, came into the picture to make applications more predictable, testable, and easier to debug. However, they come with a different approach to front-end development and testing.
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