Python tutorials

Solving NLP problems quickly with IBM Watson NLP

As data scientists, before starting on the developing the models, by trying to find and download open-source models or develop models on your own, wouldn’t it be nice to have all of these handy and available to be implemented in just a few lines of code? That’s exactly what I will show you today in this blog post. With Watson NLP, you get state-of-the art pre-trained models for numerous NLP use-cases that can get you up and running    

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LamdenLink Bridge Status Update

The team is very grateful for everyone’s continued patience. We’re diligently working out the details to re-enable the LamdenLink bridge while minimizing impacts to the community. We had a productive call yesterday with community developers to discuss options. The proposed idea (thank Benji) we’re currently evaluating is to write-off    

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A brief summary of Knowledge Graphs

Knowledge representation and reasoning is one of the popular fields in artificial intelligence dedicated to offering methods that will make it possible to build complex systems by trying to incorporate how people represent information and solve problems. It can be said as the main technology for the Semantic Web.. The Semantic Web combine concepts from knowledge representation and reasoning with markup languages based on XML. Resource Description Framework (RDF) and The Web Ontology Language(OWL) provide methods for modeling knowledge-based objects […]

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ChatterBot: Build a Chatbot With Python

Chatbots can provide real-time customer support and are therefore a valuable asset in many industries. When you understand the basics of the ChatterBot library, you can build and train a self-learning chatbot with just a few lines of Python code. You’ll get the basic chatbot up and running right away in step one, but the most interesting part is the learning phase, when you get to train your chatbot. The quality and preparation of your training data will make a […]

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