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One of the final few events we got to support last year was PyData Boston’s November meetup, featuring two talks: Explainable Workflows Using Python, Austin Eovito (Data Scientist, IBM) How to Create Brainwave-Sensing Headphones using OpenBCI and Python, Angela Vujic (PhD researcher, MIT...
Imagine you are a developer for an energy company and you would like to continuously ingest and analyze data from thousands of sensors in the field. You would like to compute some statistics for each sensor, such as the rolling average, and then store that data or further analyze it by applying...
Last week we got to host our third monthly virtual meetup . More than 70 attendees from all around the world got to hear about “Explainable Workflows using Python”: This talk approaches the typical data science workflow with a focus on explainability. Simply put, it focuses on skills and...
Latest part in our series , this one once again coming out of SF Python (we’re adding material from other cities, so stay tuned for that): Learn how the new Pants execution engine leverages Python 3 features, such as async coroutines, data classes, and type annotations, to provide these...
We held our second virtual meetup yesterday, with William Roberts providing an overview of the emerging field of ML Ops. Check out his slides and watch the replay below. Please head over to the forum to share you comments and questions . Join us again on Thursday, July 9 from 6 to 7.30pm...
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Part of how we’ve been growing the IBM Data Science Community over the past year is to find leading non-IBM data science and AI-focused meetups in tech hubs around the world and support them with speakers, sponsoring, and – where available and when not in a global pandemic – venue space. Most...
Throughout the global pandemic, many people have spent lots of time viewing maps that visualize data. Important data. People who work in data science are probably seeing increased needs to work with geospatial data , especially for visualizations. There are increased needs to understand...
The sample notebooks repository on GitHub contains examples of Streams Python applications that run in Cloud Pak for Data. The samples include examples on how to: Compute a rolling average on streaming data Connect to Db2 Warehouse, Db2 Event Store, IBM Event Streams, Apache Kafka, and...