Woop me and @hmpim at @turinginst today for #turingadvances – follow along!! #DataScience #London pic.twitter.com/ybVctHLRna
— Alice Data (@alice_data) June 6, 2017
Lynch test for general image recognition – “can it tell the difference between a 🐮 and a 🐴?” #turingadvances
— Alice Data (@alice_data) June 6, 2017
“Education on probabilistic decision making is needed.Understanding that lots ofweak information can give valid answers” #ML #turingadvances
— Alice Data (@alice_data) June 6, 2017
Confusion, Challenges and the future of machine intelligence at @turinginst #turingadvances #ML #future “Education is critical” pic.twitter.com/R03tx1pJW7
— Alice Data (@alice_data) June 6, 2017
Mike leaves us with the quote “We have Palaeolithic emotions, medieval institutions and God-like technologies” – E.O. Wilson #turingadvances
— The Turing (@turinginst) June 6, 2017
Reality of #machinelearning #AI will need ethical, education, legal frameworks, legislation, regulation considerations #turingadvances
— The Turing (@turinginst) June 6, 2017
Mike Lynch – public, project designers, funders, policy makers don’t understand intricacies #machinelearning – education key #turingadvances pic.twitter.com/IJ9dIILftU
— The Turing (@turinginst) June 6, 2017
“Your data are spread in space like stars in the sky” – beautiful description of the curse of dimensionality by S Mallat #turingadvances
— Juan Mateos Garcia (@JMateosGarcia) June 6, 2017
Sir Robert Devereux from @GOVUK working pensions talking about #DataScience and #publicpolicy #turingadvances #typicalday pic.twitter.com/CkUaBPczLS
— Alice Data (@alice_data) June 6, 2017
How can #datascience help @GOVUK ? So much #DataScience potential in #publicpolicy #turingadvances pic.twitter.com/pg5Ob3ajsw
— Alice Data (@alice_data) June 6, 2017
“Peer effect is how an individuals behaviours <depend on> the behaviours on outcomes of peers” @sinanaral at @turinginst #turingadvances pic.twitter.com/uXrNel43y5
— Alice Data (@alice_data) June 6, 2017
Great examples from @sinanaral of “correlation does not mean causation”! #turingadvances pic.twitter.com/o8CLnbsdSl
— Alice Data (@alice_data) June 6, 2017
“The reflection problem – human behaviour clusters in network and space!” #turingadvances @sinanaral pic.twitter.com/B6SBLnUr02
— Alice Data (@alice_data) June 6, 2017
Facebook network experiment of viral product design – check out paper here by @sinanaral https://t.co/D1B0htS4rC #turingadvances pic.twitter.com/cBUV46ddUF
— Alice Data (@alice_data) June 6, 2017
Susceptibilty to influence 15m👨💻-married people are less susceptibility to influence compared to other relationship status! #turingadvances pic.twitter.com/dXocH40UX6
— Alice Data (@alice_data) June 6, 2017
☔️ affects 🏃running behaviour – 5yrs of gps tracking and 14million users – amazing insights from @sinanaral #turingadvances pic.twitter.com/ueQ9nWip4G
— Alice Data (@alice_data) June 6, 2017
For exercise, people behind you motivates you more than people in front of you. “Couch potatoes motivate marathons runners” #turingadvances
— Alice Data (@alice_data) June 6, 2017
Males are more influenced by males than other influence relationships! #turingadvances #socialnetworkeffect pic.twitter.com/7VnjP0bR4H
— Alice Data (@alice_data) June 6, 2017
#ML part of stats & cross validation- 1stgen heavy use of cv but cv can result in overfitting! need 4 human interpretability #turingadvances pic.twitter.com/bk3wfKBCiW
— Alice Data (@alice_data) June 6, 2017
Predictability, stability and computability workflow in practise by Bin Yu #turingadvances pic.twitter.com/TqKo68blqD
— Alice Data (@alice_data) June 6, 2017
Nice shout out to Rebecca Barters #rstats #superheat 📦 for visualising deep dream images @turinginst #turingadvances https://t.co/fTx5sq7o5M pic.twitter.com/QOkEC1JE4N
— Alice Data (@alice_data) June 6, 2017
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