Manvi Madan, our alumni from Batch 2012 has recently been a Keynote Speaker at CIO SUMMIT, NZ. We would like to acknowledge that her journey as a public speaker and orator began during her time at The Adarsh School.
This absolutely applies to data professionals delivering analytics products as well. There is an ethical and social responsibility on the part of the AI Engineer here. #AIEthics#algorithmicbias
Day[97/100] The team at Rice University has built a system to train NN faster on CPU than GPU. They achieved their results by recasting #deeplearning as a search problem that could be solved with hash tables. Exciting na! #100DaysOfMLCode#100daysofcode#datascience#AI
Day[96/100] I think the most challenging #ML models to maintain are the ones where the data changes in real time. The concept change and #data drift could be so fast that it could render the model obsolete in no time. #10daysofmlcode#100daysofcode#machinelearning#datascience
Absolutely trilled to have shared my learnings in SQL #masterclass organised by UoA IBSS. The interactions with the upcoming batch of data professionals was the best part. #UOA#datascience#sql