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Cliché: Without data, there can be no data science.But it is true.While learning data science, we mostly use public data sets or scrape data off the web. But in ML-assisted products, most of the data is generated and collected through business applications.Th…
The most frequent question I get from developers is: what is the best way to get into Machine Learning?A few years back, my response was:Google for best resources and learnFind problems at work and apply what you learnRepeatThough that response was honest and…
I guess the answer depends on whom do you ask.I have seen many Data Scientists bitterly oppose Agile and Scrum:6 Reasons why I think Agile Data Science does not workWhy Scrum is awful for data scienceWhy data science doesn't respond well to Agile methodologie…
If your machine learning model has a high correctness score on the holdout test data set, is it safe to deploy it in production?
Wish you all a very happy new year! I hope that this year we finally put the COVID pandemic behind us.Last year, I started ML4Devs as a weekly newsletter but could not sustain the pace. So this year, I am restarting it as a biweekly to make it more sustainabl…