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Open, rigorous and reproducible research: A practitioner s handbook

Even though many scientists are expected to abide by the principles of open, rigorous and reproducible research, few scientists actually receive formal training in this. Indeed, there is no collection written by workings scientis for working scientists about the principles of open, rigorous and transparent research and how to go about practicing such research, beyond theory. This handbook represents a constantly updated guide aiming to fulfil this gap and by doing so actively assist all researchers in producing informative research.

United kingdomUnited statesCity ofMike baiocchiSteve goodmanStylianos stelios serghiouJohn ioannidisRuss poldrackJohn chambersUniversity of edinburghAi resident at google healthClinical researchStanford data science initiativeStanford data science instituteDepartment of epidemiologyStanford university

Top 10 AI graduate degree programs

Thinking about getting your graduate degree in artificial intelligence? Here are 10 of the top schools with AI degrees worth pursuing.

United statesAnn arborGeorgia institute of technologyStanford universityUniversity of texasCarnegie mellonMachine learning labHeinz college schools of publicUniversity of michiganStatistics departmentCollege of computingLaboratory for artificial intelligenceCornell universitySchwarzman college of computingSchool of computer scienceMachine learning department

Faces to watch: Tech education leaders in MEA

Faces to watch: Tech education leaders in MEA
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United arab emiratesAbu dhabiStephen gillEric xingEl dakkakOmar el dakkakNetwork securitySchool of mathematicalInternational machine learning societyComputer sciencesInternational cooperationMinistry of foreignMohamed bin zayed university of artificial intelligenceMachine learning department at carnegie mellon universityAssociation of advancement artificial intelligenceSorbonne centre for artificial intelligence

Databricks Announces Plans to Unveil Highly-Anticipated Fifth Major Open Source Project at 2021 Data + AI Summit, Releases Final Keynote Lineup

Share this article Share this article Databricks co-founders Ali Ghodsi, Matei Zaharia and Reynold Xin slated to deliver keynotes on data and machine learning product innovations and the rise of the lakehouse architecture SAN FRANCISCO, May 19, 2021 /PRNewswire/ Databricks, the Data and AI company, today announced the full agenda and final lineup of featured speakers for the upcoming Data + AI Summit (formerly Spark + AI Summit), taking place virtually May 24-28. Data + AI Summit is the global event for the data community, where tens of thousands of data teams from more than 160 countries will come together to share best practices, learn from experts throughout the industry, and get a first-hand look at what s new in Databricks Lakehouse Platform. This year, the Data + AI Summit theme is

New yorkUnited statesDelta lakeSan franciscoReynold xinBill nyeMichael lewisSol rashidiShafi goldwasserAdam steltznerManuela velosoAli ghodsiBill inmonPatrik baginskiEstee lauderMoogega cooper

Databricks Announces Plans to Unveil Highly-Anticipated Fifth Major Open Source Project at 2021 Data + AI Summit, Releases Final Keynote Lineup

Databricks Announces Plans to Unveil Highly-Anticipated Fifth Major Open Source Project at 2021 Data + AI Summit, Releases Final Keynote Lineup
prnewswire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from prnewswire.com Daily Mail and Mail on Sunday newspapers.

New yorkUnited statesDelta lakeSan franciscoReynold xinBill nyeMichael lewisSol rashidiShafi goldwasserAdam steltznerManuela velosoAli ghodsiBill inmonPatrik baginskiEstee lauderMoogega cooper