Insights on coping with statistics, interacting with individuals, and maximizing productiveness on the office
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In August final 12 months, I joined Google as a Knowledge Analytics Apprentice. It was the beginning of my working profession. Crossing the 12 months mark made me ruminate about what I had discovered in several dimensions of my job and work-life throughout this time. I don’t suppose there’s ever been a interval the place I’ve undergone a extra fast metamorphosis. It’s been a problem however a enjoyable one!
I’ve divided my studying into three classes: knowledge science, productiveness, and other people.
In real-world knowledge science issues, excessive accuracy will likely be obtained just because the dataset is extraordinarily skewed and never as a result of the algorithm performs properly. You possibly can have a dataset with a negative-to-positive class ratio of 1000:1 (like for spam classification), and this imbalance will result in a excessive accuracy higher than 99% if we classify all factors as adverse. Therefore, it issues to decide on the suitable metric for analysis, which is recall on this case. A excessive recall rating would point out that the optimistic courses are being…
