Jupyter Notebook

tl;dr A step-by-step tutorial to train a state-of-the-art model for named entity recognition (NER), the task of identifying persons, organizations and locations from a piece of text. Practical Machine Learning - Learn Step-by-Step to Train a Model A great way to learn is by going step-by-step through the process of training and evaluating the model. Hit the Open in Colab button below to launch a Jupyter Notebook in the cloud with a step-by-step walkthrough....

tl;dr A step-by-step tutorial to train a sentiment analysis model to classify polarity of IMDB movie reviews with XLNet using a free Jupyter Notebook in the cloud. The IMDB Movie Reviews Dataset and XLNet The Internet Movie Database (IMDb) movie reviews dataset is a very well-established benchmark (since 2011) for sentiment analysis performance. It’s probably the first large-ish (50,000 train+test), balanced sentiment analysis dataset, making it a very nice dataset for benchmarking on....

tl;dr A step-by-step tutorial to train a state-of-the-art model to detect sarcasm 🙄 from tweets with a free Jupyter Notebook in the cloud. Sooo Impressive Sarcasm Detection Model on Tweets Recently Venture Beat published (and Communications of the ACM referenced) a news article titled “AI researchers made a sarcasm detection model and it’s sooo impressive” which detailed how researchers from China had come up with a “sarcasm detection AI” that “achieved state-of-the-art performance on a dataset drawn from Twitter”....

tl;dr Google Colab and Paperspace Gradient both provide Jupyter notebooks with free GPUs in the cloud to code, train and test your ML models. Which is the better option? In this article we compare them. Our final answer is to use both depending on your current ML workloads and requirements. What is Google Colab and what is Paperspace Gradient? If we had to pick one particular tool that makes ML easier for everyone, it would be cloud Jupyter notebooks....