There is probably a need to bridge the gap between machine learning and software engineering. Building a standalone model is great, but how about also considering the engineering challenges when it needs to be deployed as a part of a system into production?
Your thoughts?
@neilernst Thanks Neil. It was the best learning experience working with you and Alvi. I feel happy that our work is recognized by #SANER20 conference 😃
Learning Machine Learning for Cyber Security on #Elastic Stack was insightful. Happy to share my Certificate of Completion. Would be leveraging the knowledge gained towards my ongoing research in Secure Data Sharing.
#elasticstack#machinelearning#datas…https://t.co/FgbnWGYQ97
Blog post after a long time! Explore how multinomial distribution for data science can ease work in day to day business, analyze sentiments, learn the end-user behaviour and much more! https://t.co/qZU4o2eWO3