Even though the basic concepts behind defining data sources, connectors, model training, and deployment remain the same, they seem to pay attention to how people use their SDK and APIs. This certification is a great way to learn to do machine learning in the cloud effectively.
I renewed my Microsoft Data Scientist certificate last week! I first took the exam needed to get this certificate in 2020, and it's interesting to see how Azure ML has changed since.
We are thrilled to announce the beta version of our groundbreaking AI-enabled search tool, Lighthouse💡 Designed to sift through SWAN’s knowledge base and answer queries within seconds (developed with @dkedar7 - Sr. Data Scientist at KETOS https://t.co/6Qkg6BAnWK
Honored to be on this panel alongside @JimPCooper and Stephanie Leblanc at @SWAN_forum RiSWP's mentorship series! Join us on August 9 to discuss how AI and machine learning are transforming the smart water sector!
This is fun, its like Scratch but it also generates Python. You can edit the code on the side and run it (it won't update the Scratch part when you do this, but it is still cool)
Seems like a nice way for kids to learn stuff, or at least worth trying as a teaching tool
Glad to have had the opportunity to engage in an enlightening discussion with this dynamic flock of fellow young ambassadors at SWAN - The Smart Water Networks Forum! Thank you Thibault Moreels, Philipp Grünler, Xuhui Zeng, P.E., and Madeleine Crisp MIWat…https://t.co/iIeQc6lgMi
Apply to lead our data science group at @USGS_Water! The position opens to applicants on Monday, June 26th.
See job posting on #USAJobs: https://t.co/JVZkznenZO
More details here: https://t.co/OI1co3pfV6
@DOICareers#DataSci
NEW Member Case Study!
Learn about how SWAN members @SNWA_H2O and @Ketos_H2O collaborate to employ predictive water quality analytics in Nevada: https://t.co/W24dSFNsm7
It was great to be a part of this year's @SWAN_forum annual conference in Glasgow! The conversations revolving around people, data, and innovation were genuinely inspiring.
If you missed it, we've got you covered with some of the key takeaways. Check it out here!
People, Data and Innovation at the Core of SWAN 2023!
Read about the key takeaways from the 13th Annual Conference in Glasgow: https://t.co/mxXJyphIuF
Written by: Kedar Dabhadkar, Dr Natalie Lamb, Thibault Moreels, Marianna Mertzanis MSc MChem
This is incredible — There's now the ability to query American College of Cardiology guidelines using this chatbot! Great work @KDmph!
Check it out at https://t.co/Ra5tSOb2HD. https://t.co/5B8RrLX634
Ahead of it, I hooked up OpenAI GPT-3.5 with the SWAN knowledge base. It gives instant access to the wealth of information within the knowledge base.
Check it out here: https://t.co/vV21PGxlrm, and reach out with thoughts and questions!
#SWAN2023#water#chatgpt
Headed to Glasgow for the 13th annual @SWAN_forum conference. Very excited to meet industry experts and fellow young professionals in the smart water space!
Anyone can also attend virtually by registering at: https://t.co/5e9uk8FHa2.
Introducing segment-geospatial, A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
GitHub: https://t.co/KUOhmJyArU
Docs: https://t.co/UbkLx9buvs
Notebook: https://t.co/yWLhWxzlde
#segmentanything#deeplearning#geopython
Join virtually for @SWAN_forum's 13th annual conference happening in Glasgow this year!
Many exciting sessions and learning opportunities for everyone looking for the latest in the field of digital water!
Register here: https://t.co/DLCVqosBKe
I'm fascinated by how rapidly the community has been adapting LLMs. Nothing trumps a company's ability to quickly democratize access to the latest technology for its user base. Very excited about this new phase!
Two exciting announcements from @databricks today:
1/ We can use #LLMs directly in a SQL query with Databricks SQL. Databricks announced AI functions that allow users to access LLMs as a simple SQL function. https://t.co/0zTcES1R33