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What is NLP? Natural language processing explained

CIO Business Intelligence

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. An NLP algorithm uses this data to find patterns and extrapolate what comes next.

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Use of Machine Learning to Make Money on Android Monetization

Smart Data Collective

Different apps allow us to chat with friends, order food delivery, book a taxi, and find the best way to the office. Machine learning has helped with all of these solutions in apps , but it can be even more valuable when it comes to monetizing them better. You need to know how to leverage your machine learning algorithms effectively.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

In a related post we discussed the Cold Start Problem in Data Science — how do you start to build a model when you have either no training data or no clear choice of model parameters. There are also examples of cold start in supervised machine learning (where you do have class labels on the training data).

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R vs Python: What’s the Best Language for Natural Language Processing?

Sisense

NLP can be used on written text or speech data. For our example, we will use written text for our comparison of R vs Python for data science. We are surrounded by written text every day: emails, SMS messages, webpages, books, and much more. R vs Python for data science: Digging into the differences.