Classifying your Emails
Spam or Not Spam.
Read moreDeep Learning, NLP, NMT, AI, ML
Python tutorials
Spam or Not Spam.
Read moreTaking a Django app from development to production is a demanding but rewarding process. In this video course, you’ll go through that process step by step. You’ll start at square one with a no-frills Django application then add in Gunicorn, Nginx, and domain registration. After working through this video course, you’ll be better equipped to take your Django app into production and serve it to the world. In this video course, you’ll learn: How you can take your Django app […]
Read morewhy we need to convert text to a vector? Machines don’t understand data in text form. we have to convert text to vectors so that mathematical operations can be performed on data. in NLP it is also know as word embeddings.
Read moreSource: Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text (aaai.org) This article is about the VADER-sentiment model and how it generates the sentiment scores for social media text. I recently used this library to build a very basic model
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Read moreMost modern web applications are powered by a REST API under the hood. That way, developers can separate the front-end code from the back-end logic, and users can interact with the interface dynamically. In this three-part tutorial series, you’ll build a REST API with the Flask web framework. You’ll create a foundation with a basic Flask project then add endpoints and connect them to a SQLite database. You’ll test your API with Swagger UI API documentation that you’ll build along […]
Read moreIn our previous post “How an AI Chatbot Works: A Quick Guide to SimSimi’s Architecture,” we demonstrated the operating mechanism behind our chatbot SimSimi. In today’s post, we would like to introduce you to SimSimi’s core values and essential functions needed to realize those values.
Read moreA/B testing, also known as split testing, compares two different versions of something (mobile app, web page, advertisement, etc.) to determine which one performs better. A/B testing is a common statistical test, especially in marketing strategy. We can see which version is making more purchases or more clicks after split testing, and then we can make strategic decisions. Many companies use A/B testing in the new technology world, like Instagram, Facebook, Google, LinkedIn, etc.
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