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With Upkar Lidder (Developer Advocate, IBM).
Wednesday, August 14, 2019 at 09:30 AM   Absolutely Free
Venue, To Be Decided
 
     
 
 
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RSVP on Crowdcast NOW!https://www.crowdcast.io/e/online-meetup-build

Please do not forget to register on Crowdcast & join us using Chrome browser via Crowdcast on the event date!

In the not-too-distant past, data scientists worked in silos, doing their work on desktops & sharing Python & R scripts with their peers. Now, they have tools like Watson Studio & Jupyter Notebooks that make collaboration easier online.

While it is easy to share code & dashboards with technical & non-technical folks, it is still difficult to deploy your amazing models such that others can use them hassle-free. Even after you have deployed a model, you still need to monitor it closely & re-deploy new, improved models over time.

Join IBM Developer SF in this hands-on workshop & successfully create, store, & deploy a Machine Learning Model on IBM Cloud using Watson Studio & Watson Machine Learning Services -- all within an hour. Don't forget to bring your laptops!

Prerequisites:Curious minds! Bring your laptop, & the rest happens on the cloud!

Who is this workshop for?- Data scientists who understand various models & hyper-parameters, as well as those who are looking for ways to scale their model deployments & monitor/improve them over time- Software developers who are looking to dip their feet into Machine Learning or want to create models for their applications- Data Science beginners who want to create their first model!

RSVP on Crowdcast NOW!https://www.crowdcast.io/e/online-meetup-build

Speaker Bio:Upkar Lidder is a Full Stack Developer & Data Wrangler with a decade of development experience in a variety of roles. He can be seen speaking at various conferences & participating in local tech groups & meetups. Upkar went to graduate school in Canada & currently resides in the United States.

 
 
 
 
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