PyDataLondon - talks aimed at leaders, our great schedule and volunteering
Next week sees the return of our PyDataLondon conference after a 2 year Covid gap. The volunteers and NumFOCUS have put in a huge amount of work to bring this event back and I’m looking forward to attending, speaking and running some sessions. Will you be attending?
The schedule is packed with strong talks including a couple on “getting it right” (one by yours truly), ASR, processing bank data, fuzzy string matching at scale (beyond
fuzzywuzzy!), a DataFrame showdown, faking data for testing, measurements and fairness, feature stores, NLP, plenty of Bayesian and talks on MLOps.
I’m very happy to give an updated run of my Building Successful Data Science Projects talk on Sunday, based on several years of my popular course (email me if you’d like a notification for the next course?). We’ll look at a mix of successful and “rather less successful” project outcomes from my portfolio and I’ll draw out lessons which, if they fit the patterns you see, will help you succeed more frequently. The prior talk in the schedule on Lessons in transitioning from academia to business looks interesting to me, it has a focus on looking beyond models and scores and considering the needs of the business.