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Recently I can feel how amazing
#LinearAlgebra is. Here is my recommendation if you want to get started. 1. Watch 3Blue1Brown (https://youtu.be/fNk_zzaMoSs ) 2. Watch Gilbert Strang lectures on Linear Algebra (https://youtu.be/QVKj3LADCnA ) 3. Watch 1 againHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
I had a lot of fun on the
@joerogan podcast yesterday. Here's a clip of me talking about@elonmusk, hard work and first-principles engineering at Tesla, SpaceX, and Neuralink. Full JRE episode: https://www.youtube.com/watch?v=ZIcQwDkcaWk …pic.twitter.com/Q32iwC7YEfHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
MIT's new CS class teaches you things that all the other classes don't teach you, like...
Shell tools and scripting
Vim
Data wrangling
Command-line environment
Version control
Watch all 11 lectures for free here: http://bit.ly/MissSemester
#MondayMotivationpic.twitter.com/vHUkzqbXT7
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David Pich proslijedio/la je Tweet
The 1986 classic 'Parallel Distributed Processing' uses the term 'threshold function' instead of 'rectified linear unit'. I prefer the 1986 version :)pic.twitter.com/qLB4GbKWsL
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#SupervisedLearning: need more data#ReinforcementLearning: need more timeHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
Our forthcoming book dives deep into different tabular modeling approaches, with many experiments. But I'll save you from reading the whole thing, and just show you the conclusion. https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 …pic.twitter.com/XjuoDncjIn
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David Pich proslijedio/la je Tweet
Excited to be one of the panelists at Google's IWD event in Tokyo and can't wait to meet and connect with many amazing women in tech! Applications are open until Feb 7. See you there?

#WomenInTech#WomenInDataScience#IWD2020https://buildyourfuture.withgoogle.com/programs/iwd-event-tokyo/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
Great chatting with
@lexfridman. We talked about everything from the early mistakes I made building MOOCs to the challenges of deploying AI systems. Stay tuned for the podcast episode!pic.twitter.com/Sy7E4R9bdt
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David Pich proslijedio/la je Tweet
It takes lots of effort to go through hundreds of resources & settle on ones that are worth your time. That’s one of primary reasons we launched learning paths. Here's a structured
#computervision learning path for you.#learning#machinelearning#ai#ml https://buff.ly/37MpQiC pic.twitter.com/tMSaTyqCAJ
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David Pich proslijedio/la je Tweet
MIT's 1-week deep learning bootcamp is available online for free. Check out the intro talk here: http://bit.ly/37jl9N1
#MondayMotivation#DeepLearning#ML#MachineLearning#RL#DLpic.twitter.com/mPqUlqQbx9
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David Pich proslijedio/la je Tweet
I love hearing about results like this. When I saw
@rsomani95's brilliant work on AI-powered movie shot analysis last year I was blown away. I had no idea he'd started coding just in Aug 2018! Now he's a DL practitioner working in this space. Inspiring. https://rsomani95.github.io/ai-film-1.html pic.twitter.com/JHg9Y9n2F7
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David Pich proslijedio/la je Tweet
Did you know that Breiman published both the bagging and random forest papers *after* he retired?!? (This is from our forthcoming book: https://www.amazon.com/Deep-Learning-Coders-fastai-PyTorch/dp/1492045527 …)pic.twitter.com/07oAjxJgV3
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David Pich proslijedio/la je Tweet
I've always been fascinated by Bayesian Nonparametrics. I struggled to grasp those ideas directly from papers. Today, by chance, I found the best (imo) single reference for anyone interested: A gentle introduction by
@yeewhye and Michael Jordan http://www.stats.ox.ac.uk/~teh/outbox/jordan-teh.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: https://arxiv.org/abs/2001.09977 Blog: https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html …pic.twitter.com/5SOBa58qx3
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David Pich proslijedio/la je Tweet
Meta-Learning: Learning to Learn Fast たぶんメタ学習の入門に関してはトップ。論文読むより分かりやすい。 メタ学習のよく使われる3つのタイプについて説明。 ①metricベース(Siameseなど) ②modelベース(MANNなど) ③optimizerベース(MAMLなど)https://lilianweng.github.io/lil-log/2018/11/30/meta-learning.html …
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David Pich proslijedio/la je Tweet
Kornia is a GPU accelerated computer vision library for
@PyTorch. Link: https://torchgeometry.readthedocs.io/en/latest/ https://twitter.com/kornia_foss/status/1221862537953714176 …
0:25Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
Here are Chris' slides + code "OO design patterns for ML" https://github.com/bespoke-inc/bespoke-public-talks/tree/master/2020/2020-01-25-MLT-WiT-Google …pic.twitter.com/gz9D7Dzrmb
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David Pich proslijedio/la je Tweet
If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by
@iamtrask. From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.https://github.com/OpenMined/PySyft/tree/master/examples/tutorials …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
practicalAI is a free tool to discover & organise the top-community created ML content by
@GokuMohandas. It's super easy to create a deck of useful articles and share it with others.https://practicalai.me/explore/content/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
David Pich proslijedio/la je Tweet
Wonderful contribution to fast_template from
@HamelHusain - there is now a `_notebooks` folder; put any@ProjectJupyter notebook there, and it'll automatically be turned into a blog post using@GitHub Actions. No installation required; just click and go! https://www.fast.ai/2020/01/16/fast_template/ …pic.twitter.com/rnZjknoCau
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