Deep Learning, NLP, NMT, AI, ML
This blog aims to demonstrate step-by-step how to fine-tune a Graphcore Hugging Face (HF) Optimum model for a text classification task on the GLUE General Language Understanding Evaluation benchmark. I will take it further by showing how to train and test the model using your own datasets. What is Natural Language
Read morePackaging is often associated with publishing a project on PyPI, which can make you bypass packaging as something you don’t need to worry about at the start of your project. Python packaging has also had a long history and can be overwhelming for all levels of programmers. But it doesn’t have to be a scary process! In this Code Conversation, you’ll follow a chat between Ian and Geir Arne demonstrating the relatively new, officially sanctioned way of setting up your […]
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Python project exploring football results and betting odds
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AI-powered systems are present almost everywhere nowadays. It serves company interests in many ways. One of them is sentiment analysis in real-time or batch-processed. Sentiment analysis is a method that can deduce/predict the global feeling of text chunks, comments, articles, and any text object. Given that company reputation and image are the first plan concerns for
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A tool to determine a complexity level of a given document
Read morePerform document classification into four defined categories (World, Sports, Business, Sci/Tech). Compare the classifier accuracy with different models ranging from Naïve Bayes to Convolutional Neural Network (CNN) and RCNN. By making use of different feature engineering techniques and extra Natural Language Processing (NLP) features create an accurate text classifier. Document/Text classification is an important task that
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Most 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’re building a REST API with the Flask web framework. You’ve created a foundation with a basic Flask project and added endpoints, which you connected to a SQLite database. You’re also testing your API with Swagger UI API documentation that you’re building […]
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In this blog post, I will guide you through the convoluted nature of calculating CVA for an IRS step by step. Please find the accompanying Python Notebooks on my GitHub page. We will take a look at the 8 steps required to calculate the Credit Valuation Adjustment (CVA) for hedging against the risk of default of the counterparty when entering an Interest Rate Swap (IRS) using
Read moreIn this article, I am writing my implementation of a confusion matrix using python and NumPy. This below function can calculate a confusion matrix of any size or number of classes. If you don’t know what a confusion matrix is, check out this awesome video on it
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