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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
Can I join in Nokia R&D unit for java, spring boot backend developer role considering current situation of layoffs in product based companies ?
Exp - 4 years
Tech stack - Java, Spring Boot, Microservices
EPAM Systems Cisco Nokia Dell Deloitte Deloitte USI Deloitte India Infosys Cognizant KPMG EY PwC Verizon Verizon Media Ericsson Huawei Technologies
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Thursday Wordle
Wordle 474 2/6
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Chargeablity targets vary according to level, practise, dte. Best to talk to your CC for this information.
I think EH get a free pass their first year no?
Thanks - I thought so too but since there are no exceptions in these layoffs, just wanted to see if this was still the rule
Rising Star
What’s EH?
Experienced hire