Is anyone in this group local to the Houston area? Would you be interested in a meetup at my company's training center in Pasadena? I could present our use case, then discuss how you use Dataiku.
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Thanks to all of you who joined us for yesterday's User Group event! Sampath Reddy (Analytics Product Champion, Schlumberger) highlighted some of the interesting use cases of NLP in the subsurface domain of the Upstream and the value it brings to the overall workflow (more information)
Here is the recording for those of you who couldn't make the event!
Reminder that if you are interested in leading the Texas User Group please fill out this quick user group lead form .
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For our next event, Sampath Reddy (Analytics Product Champion, Schlumberger) will highlight some of the interesting use cases of NLP in the subsurface domain of the Upstream and the value it brings to the overall workflow.'
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Natural language processing has been extensively used in retail and social media sectors. However, its utilization is largely limited in the Oil and Gas upstream sector due to the complexity in the data as well as domain specific language that was never easily captured into existing language models.
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In the past we have been introduced to edge computing as a concept. Today, let's take it one step further!
In this post, we will detail how we designed and trained a single shot detector (SSD) model that allows unmanned aerial vehicles powered by UAVIA’s embedded intelligence to automatically detect and track objects of interest in the most hardware-optimized way. We also provide a technical description of the SSD model and present the method we’ve used to simplify the optimization of neural network models for inference within UAVIA DroneOS, using the drone’s specific System On Chip (SOC).
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Additional Resources: Dataiku and UAVIA Collaboration Successfully Deploys Machine Learning Models for Edge Computing on Drones
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Machine learning has become more and more accessible in the last few years. Thanks to advancements in automated machine learning (AutoML), collaborative AI , and machine learning platforms (like Dataiku ), the use of data — including for predictive modeling — across people of all different job types is on the rise. You don’t have to be an expert coder, data scientist, or engineer to master machine learning anymore. You can build your own ML model by following these five steps.
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Have you always been interested in NLP but don't quite understand it? Do you just want it explained to you as simply as possible? Well you are in luck as today we’ll dive into Natural Language Processing (NLP), which overlaps with each of these topics in different ways
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How have you used NLP in your work? Comment below!
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Check out this recent blog post from Dataiku, "Building a Culture of Experimentation." In this post Christina Hsiao (Senior Product Marketing Manager, Dataiku) helps answer the question, “How can I streamline and scale my teams’ efforts in order to drive even more impact?”
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Continuing with our theme from the first event, here is a recent piece from the Dataiku Blog on Edge Computing written by Arnaud, who if you recall presented at the recent User Group event.
Deploying on the Edge With ONNX
Enjoy and please let us know your feedback!
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Is anyone heading to any of the talks at the Data Science Festival this month?
There are tons of talks on a wide swath of data science topics - so there is sure to be something up your street.
If you are interested you can check out the schedule here: https://tickets.datasciencefestival.com/schedule/
Let me know what your attending!
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Thanks to all of you who joined us for yesterday's User Group event! Arnaud d'Esquerre (Software Engineer at Dataiku) introduced the topic and walk through the Dataiku DSS plugin he created to deploy models faster with ONNX, an open format created to enable interoperability between common deep learning frameworks (more information).
Here is the recording for those of you who couldn't make the event!
Here are the slides for reference:
Reminder that if you are interested in leading the Texas User Group please fill out this quick user group lead form.
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