Phuture YungUpstart

@Gabriel_Oguna

NuAfrika Datascience ML & DL

Vrijeme pridruživanja: travanj 2011.
6 fotografija ili videozapisa Fotografije i videozapisi

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    Odgovor korisnicima

    After experiencing the amazing 39,426 miles, just realized every mile driven in past cars was a complete waste & gone up in smoke. More than happy & contribute to the N/N
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    I've heard that you've hired video game engineers in the past, who might have a unique approach to the AI development challenge. I know you're friends with , and he just left Oculus to work full-time on AI. Maybe he'd want to make this his next challenge?

    7 replies 7 proslijeđenih tweetova 210 korisnika označava da im se sviđa
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    Dojo, our training supercomputer, will be able to process vast amounts of video training data & efficiently run hypersparce arrays with a vast number of parameters, plenty of memory & ultra-high bandwidth between cores. More on this later.

    221 reply 432 proslijeđena tweeta 7.992 korisnika označavaju da im se sviđa
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    Tesla will soon have over a million connected vehicles worldwide with sensors & compute needed for full self-driving, which is orders of magnitude more than everyone else combined, giving you the best possible dataset to work with

    447 replies 980 proslijeđenih tweetova 13.138 korisnika označava da im se sviđa
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    Our custom 144 TOPS in-vehicle inference computer, where almost every TOP is useable & optimized for NN, far exceeds anything else in volume production, giving you the hardware you need to run sophisticated nets

    120 replies 256 proslijeđenih tweetova 4.914 korisnika označava da im se sviđa
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    “At Tesla, using AI to solve self-driving isn’t just icing on the cake, it the cake” - Join AI at Tesla! It reports directly to me & we meet/email/text almost every day. My actions, not just words, show how critically I view (benign) AI.

    1.536 replies 4.928 proslijeđenih tweetova 42.814 korisnika označava da im se sviđa
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    Today, shared that developers around the world (excl. China) have earned more than $80 billion to date on . Our platform can’t succeed without the help of our developer ecosystem, so a huge thank you for all you do!

    7 replies 59 proslijeđenih tweetova 370 korisnika označava da im se sviđa
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    Me: rolls one as I go through pale insta Blunt : lights

    Bomboclaat
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    28. sij

    D9: (28th, Jan 2020) Revised the first 4 lectures of Lesson 4. Continued with learning OpenCV with python using

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    D14: (2nd Feb 2020) Started lesson 5. - Learn about OpenCV basics and Handling input streams.

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    Did you know that Breiman published both the bagging and random forest papers *after* he retired?!? (This is from our forthcoming book: )

    15 replies 111 proslijeđenih tweetova 661 korisnik označava da mu se sviđa
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    When algorithms drive human behavior, feeding the algo fake data can manipulate human behavior.

    99 smartphones are transported in a handcart to generate virtual traffic jam in Google Maps. Through this activity, it is possible to turn a green street red which has an impact in the physical world by navigating cars on another route!
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    6 replies 113 proslijeđenih tweetova 295 korisnika označava da im se sviđa
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    I'm impressed by the work Hugging Face is doing.

    Week-end read. Thanks for the mention .
    7 replies 46 proslijeđenih tweetova 419 korisnika označava da im se sviđa
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    I have this working theory that more vague the description of your AI startup, the higher your valuation. What does "liberate your data", "allow data to move like the air you breathe”, “we lived and breathed data science”, “AI that delivers impact, not accuracy” even mean?

    68 proslijeđenih tweetova 668 korisnika označava da im se sviđa
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    Curriculum for Reinforcement Learning "Learning is probably the best superpower we humans have." explores four types of curricula that have been used to help RL models learn to solve complicated tasks.

    84 proslijeđena tweeta 348 korisnika označava da im se sviđa
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    50 cognitive biases, quite a few because of energy-intense human brains being so efficient at being more (energy-)efficient, e.g. Google effect, lazy causal inference, self-exceptionalism.

    147 proslijeđenih tweetova 579 korisnika označava da im se sviđa
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    "Machine Learning doesn’t have to be a black box anymore. What use is a good model if we cannot explain the results to others. Interpretability is as important as creating a model." A neat kernel on "Intrepreting Machine Learning models" by

    6 replies 107 proslijeđenih tweetova 484 korisnika označavaju da im se sviđa
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