Searched for

260 results found
classification
Deep Learning for Text Classification
Matt will be presenting more on Ulmfit at ODSC East 2019 this May! Check out his talk “State of the Art Text Classification with ULMFiT” there. The rise of the internet has led to a faster flow of information, where news posted to a relatively obscure blog can be shared... Read more
The Latest Advances in Classification With Too Many Labels
At ODSC London 2018, Dr. Michael Swarbrick Jones, Ph.D. gave a technical lecture on the latest in large-scale multilabel classification and how practitioners should be managing their hyperparameters and data to get the most out of their models, focusing specifically on problems where there are thousands or tens of thousands... Read more
Classification Models Predict Community-Specific Interest in News Articles With High Accuracy
A research team hailing from Rensselaer Polytechnic Institute and Raytheon BBN Technologies used features from article content to create a predictive model for gauging a given community’s interest in news articles. For the most part, past research in this realm has attempted to forecast general popularity in lieu of niche... Read more
Using TensorFlow Object Detection to do Pixel Wise Classification
In the past, I have used TensorFlow Object Detection API to implement object detection with the output being bounding boxes around different objects of interest in the image. For more please look at my article. TensorFlow recently added new functionality and now we can extend the API to determine pixel by... Read more
Researchers across NVIDIA, MGH and BWH Center for Clinical Data Science, and the Mayo Clinic devised a method for generating synthetic abnormal MRI images to combat a lack of sufficient training data. A machine learning system can only be as good as the data that it is trained on. Yet... Read more
Text Classification with TensorFlow Estimators
Note: This post was written together with the awesome Julian Eisenschlos and was originally published on the TensorFlow blog. Hello there! Throughout this post we will show you how to classify text using Estimators in TensorFlow. Here’s the outline of what we’ll cover: Loading data using Datasets. Building baselines using pre-canned estimators. Using... Read more
Random Forest Classification of Mushrooms
There is a plethora of classification algorithms available to people who have a bit of coding experience and a set of data. A common machine learning method is the random forest, which is a good place to start. This is a use case in R of the randomForest package used on a data set... Read more
In a recent post, I offered a definition of the distinction between data science and machine learning: that data science is focused on extracting insights, while machine learning is interested in making predictions. I also noted that the two fields greatly overlap: I use both machine learning and data science in... Read more

Notice: Undefined variable: logo_content in /home/odsc1733/public_html/opendatascience.com/wp-content/plugins/mobile-menu/includes/class-wp-mobile-menu-core.php on line 310