In a collective of talks hosted by Hasgeek in associated with Scribble Data called Making data science work, brings the episode where Aditya Patel, Director Data science of Glance and Nischal, VP Technology at omni:us talk about different topics surronding :What is model productionization? What makes it difficult?How does it relate to MLOps?How should one plan for production ML?What kinds of systems and process should be in place for ensuring successful delivery?What does the team structure and skillset look like?
One never rolls out a new #machinelearning model on a Friday, Aditya Patel quips.— The Fifth Elephant (@fifthel) June 1, 2020
What is model productionization? What are the challenges involved?
This 2nd iteration of Making #DataScience Work will offer some insights into how models can be optimised: https://t.co/qg3OLzeVTH pic.twitter.com/4cax3TU3p0