Discover and read the best of Twitter Threads about #math
Most recents (3)
1/$TSLA #OpsMgmt101 #PoorQuality
1/ @lopezlinette, nice article. This is not surprising to me or other industry veterans. I have one rebuttal; FPY is not 14%, it is probably closer to 0%.
How did we get here? Remember this mess?:
1/ @lopezlinette, nice article. This is not surprising to me or other industry veterans. I have one rebuttal; FPY is not 14%, it is probably closer to 0%.
How did we get here? Remember this mess?:
@lopezlinette 2/ In order to meet their 5k/week commitment, Tesla put untrained interns and employee’s on the line and lowered and probably lowered their quality standards.
@lopezlinette 3/ There was no amount of QC inspection that could’ve prevented quality escapes. Actually, Tesla probably lowered their quality standards to ship more product. In industry terms, they basically “shipped shit.” Multiple twitter threads and in the forums claiming poor quality.
I used @ProjectJupyter to investigate @NSERC_CRSNG expenditure over recent years using #opendata from @OpenGovCan. My exploration is freely available via @mybinderteam here: mybinder.org/v2/gh/colliand… 1/
According to the @OpenGovCan data, Discovery programs @NSERC_CRSNG increased in budget by 16% between 2013 and 2016. 2/ 
#NSERC leadership was notified of significant gaps in funding for #math and #stats #research by the math/stats Liaison Committee, by Institute Directors, and (publicly) by @NGhoussoub in May. nghoussoub.com/2018/05/09/fet… 3/
1/6 Data and the Quest for Truth: A short cartoon talking about the value of data in establishing truth. First, distinguish between matters of opinion and matters of fact.
#datascience #scientificmethod #machinelearning
#think2018 #IBMPartner @ibmanalytics
#datascience #scientificmethod #machinelearning
#think2018 #IBMPartner @ibmanalytics
2/6 You can have a preference and that’s cool. You like one thing. I like another. We run into problems when we argue about verifiable facts. Watch out for #confirmationbias
#datascience #analytics #confirmationbias
#think2018 #IBMPartner
#datascience #analytics #confirmationbias
#think2018 #IBMPartner
3/6 Ignoring evidence can impact people around you… and that’s bad. We live in a #BigData in which everything is quantified. To solve our problems, we need to become data-literate.
#datascience #machinelearning
#think2018 #IBMPartner
#datascience #machinelearning
#think2018 #IBMPartner
