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Natural systems often exhibit self-similar behaviour to an extent that the structure and function derive from the self-similarity. This isn't necessarily the case with NNs, since they're subject to data and constraints of behaviour (units, activ. funcs., hyperparams, etc)https://twitter.com/FelixHill84/status/1223552618045243393 …
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Makes me wonder about how computer vision methods (especially ML for computer vision) would process something like this. It is not just plausible that algorithms can be hacked but what would be interesting is to see if they too make similarly wrong inferences about images.https://twitter.com/pickover/status/1224856236694347777 …
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These are ultimately similarity measures to an empirical model, which perhaps makes modeling social networks and contact networks "modelable". Perhaps such studies are being done in evaluating the extent of spread of (and precautions required for) epidemics?
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Another interesting possibility opens up when we consider that social networks (both strong and weak connections) are used to transmit viruses. For instance, we can build models of social propensity of individuals based on shared infrastructure, shared family, shared genes...
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As someone who is interested in the dynamics of systems, I'm finding the spread of viruses fascinating now. That empirical, dynamical models can actually model the behaviour is particularly interesting.
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Rajesh S (aiexplorations) proslijedio/la je Tweet
This is a nice example of Simpson's paradox: cancer mortality rates are decreasing in each age group, but increasing overall.https://twitter.com/MaxCRoser/status/1224356347447324672 …
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Benign cancers are curable and even early stage malignant cancers can be treated. Early detection is key. Be prepared, be aware and be safe!
#WorldCancerDay
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It is clear that cancer isn't due to one assignable cause - there are factors encompassing one's lifestyle, food habits, exercise and activity levels, and genetics. That said, early detection can ensure that we can catch at least common cancers.
#WorldCancerDay
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I'm glad that there's a lot of promising work being done at the intersection of computer vision and cancer detection/prediction. As someone who has seen close relatives become a victim of the disease, I wish we see more progress.
#WorldCancerDay
#MachineLearningPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Profound and humorous at the same time.https://twitter.com/pickover/status/1224469664358641665 …
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This is an incredible talk at the intersection of data, systems, and post-truth discourse in our constantly degrading global society - with Tristan Harris and Yuval Hararihttps://youtu.be/FluIi30nzjE
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What big firms possess in process orientation, small firms possess in the ability to channel, direct and focus talent. There is a certain size where doing one or the other is hard to do - and you need to do both. This is the space where clusterfugs happen.
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The truth is that clusterfugs are common enough in all startups, whether you're at size 3 or size 30 or size 300 (to go only by the headcount). The underlying reason for this is the complexity of communication, which is endemic to processes.
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Memorable video:
@huggyrao and Bob Sutton discussing the "clusterfug" that accompanies many scaling startups:https://www.youtube.com/watch?v=l1ATdH-TvJw …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Process orientation is seen as the enemy of innovation by many in small/startup firms but can become an extremely valuable quality when startups begin to scale.
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Rishad Premji sounds extremely pragmatic in this article. Mature thinking like this can be a lifesaver for startups that enterprises may be interested in partnering with or investing.https://tech.economictimes.indiatimes.com/news/people/wipro-culture-could-potentially-destroy-young-startups-rishad-premji/73879834 …
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Then there's the challenge of building models that have a very narrow focus, which in itself isn't a bad thing, but will promise more than it can deliver if we were to extend the solution to new applications in the same sub-domain.
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... and it definitely doesn't ensure that there is an improvement in your condition, skill or attitude owing to the knowledge present in the videos, lectures or other things you've come to access or possess thanks to the course.
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Perhaps the online learning revolution has more in common with the revolution in large scale automation or outsourcing of customer service in businesses all over. You can access all the content you want but it doesn't guarantee that your learning needs will be met...
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The diminishing role of mentors and gurus who are experienced professionals or academicians, that carefully advise learners is a matter of concern. A few videos are not a good substitute for good quality, in person mentoring and interactions.
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