State-of-the-art NLP Made Easy with AdaptNLP
Andrew and Brian are speakers for ODSC East 2020 this April 13-17 in Boston. Be sure to check out their talk, “State-of-the-art NLP Made Easy,” there! Natural Language Processing (NLP) has advanced significantly since 2018, when ULMFiT and Google’s release of the BERT language model approached human-level performance on... Read more
Introduction to Apache Airflow
Apache Airflow is a tool created by the community to programmatically author, schedule, and monitor workflows. The biggest advantage of Airflow is the fact that it does not limit the scope of pipelines. Airflow can be used for building Machine Learning models, transferring data, or managing the infrastructure. Let’s... Read more
Unit Cost Metrics for Customer Churn
Carl is a speaker for ODSC East this April 13-17! Be sure to check out his talk, “Fighting Customer Churn With Data,” there! In this post I’m going to highlight one of the key takeaways from the session I’m planning for ODSC East in April: To understand and reduce... Read more
Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange
By Graham Ganssle, PhD, Head of Data Science, Expero Inc. Be sure to check out his upcoming talk at ODSC East 2020 this April 13-17, “Inversion of 2D Remote Sensing Data to 3D Volumetric Models Using Deep Dimensionality Exchange,” there! Many companies are continuously exploring for and monitoring the stability of CO2... Read more
Build a First Neural Network
Neural networks are weirdly good at translating languages and identifying dogs by breed, but they can be intimidating to get started with. In an effort to smooth this on-ramp, I created a neural network framework specifically for teaching and experimentation. It’s called Cottonwood and this notebook shows how to... Read more
Data Science Trends for 2020: What do 50+ Experts Have to Say About AI for 2020?
ODSC speakers are all subject-matter experts in their respective fields. From machine and deep learning to NLP and neural networks, all of our past and current event speakers truly are thought leaders in their specialties. On top of their day-to-day work, they’re all proactive in staying up-to-date with the... Read more
Missing Data in Supervised Machine Learning
Editor’s note: Andras is a speaker for ODSC East 2020! this April 13-17 Be sure to check out his talk, “Missing Data in Supervised Machine Learning” there. Datasets are almost never complete and this can introduce various biases to your analysis. Due to these biases, your supervised machine learning... Read more
Is Babel’s Data Tower Compatible With Centralized ML Solutions?
Does data have a common language?  Data structure and its content reflect the technological domain where the data comes from. The available technology is a relevant aspect to be considered. Professionals usually create databases by using the tools which are available in the digital market.  Therefore, most of the... Read more
Creativity Inspired Zero-shot Learning
Zero-shot learning (ZSL) aims at understanding unseen categories with no training examples from class-level descriptions. To improve the discriminative power of zero-shot learning, we model the visual learning process of unseen categories with inspiration from the psychology of human creativity for producing novel art. We relate ZSL to human... Read more
Generative Adversarial Networks for Finance
Financial instruments like options and futures have been around for more than two centuries. Although they became quite notorious during the 2008 stock market turmoil, they serve a real economic purpose for companies around the world. To explain financial... Read more