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ML industrialization is important because it helps organizations automate development and make it more reliable. We're seeing more and more industrialization happening daily and excited to be part of that story here at Mia. pulse.ly/nj6985ierr@awscloud#machinelearning#ai
"If you know where to look, (you) can dive in and start creating applications that leverage machine learning in innovative ways."
Low-code and no-code applications are lowering the barrier to entry! pulse.ly/y63ggcgqjz
If you work in #machine learning, #AI, or data science, chances are that you’ve used users’ personal or identifiable info in your models and algorithms. If you’re dealing with data from users living in the EU, #GDPR regulations need to be on your radar.
pulse.ly/3eorovpnil
"#Machinelearning models are all about iteration. Building a good and useful machine learning tool is a very iterative process. You don't want to lose momentum in your work, so having a low-code, or no-code, tool means you can rapidly iterate and keep the momentum going."
#ai