David Pich

@aiosym

Deep Learning Enthusiast | Information and Communication System Engineering Student at Okinawa National Institute of Technology

Vrijeme pridruživanja: srpanj 2013.

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  1. prije 21 sat

    Recently I can feel how amazing is. Here is my recommendation if you want to get started. 1. Watch 3Blue1Brown () 2. Watch Gilbert Strang lectures on Linear Algebra () 3. Watch 1 again

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  2. proslijedio/la je Tweet
    4. velj

    I had a lot of fun on the podcast yesterday. Here's a clip of me talking about , hard work and first-principles engineering at Tesla, SpaceX, and Neuralink. Full JRE episode:

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  3. proslijedio/la je Tweet
    3. velj

    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:

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  4. proslijedio/la je Tweet
    2. velj

    The 1986 classic 'Parallel Distributed Processing' uses the term 'threshold function' instead of 'rectified linear unit'. I prefer the 1986 version :)

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  5. 2. velj

    : need more data : need more time

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  6. proslijedio/la je Tweet
    2. velj

    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.

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  7. proslijedio/la je Tweet
    1. velj

    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? 😊💙

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  8. proslijedio/la je Tweet
    31. sij

    Great chatting with . 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!

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  9. proslijedio/la je Tweet
    31. sij

    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 learning path for you.

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  10. proslijedio/la je Tweet
    27. sij

    MIT's 1-week deep learning bootcamp is available online for free. Check out the intro talk here:

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  11. proslijedio/la je Tweet
    29. sij

    I love hearing about results like this. When I saw '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.

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  12. proslijedio/la je Tweet
    30. sij

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

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  13. proslijedio/la je Tweet
    29. sij

    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 and Michael Jordan

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  14. proslijedio/la je Tweet
    28. sij

    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: Blog:

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  15. proslijedio/la je Tweet
    28. sij

    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)

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  16. proslijedio/la je Tweet
    27. sij
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  17. proslijedio/la je Tweet
    27. sij
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  18. proslijedio/la je Tweet
    26. sij

    If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by . From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.

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  19. proslijedio/la je Tweet
    25. sij

    practicalAI is a free tool to discover & organise the top-community created ML content by . It's super easy to create a deck of useful articles and share it with others.

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  20. proslijedio/la je Tweet
    25. sij

    Wonderful contribution to fast_template from - there is now a `_notebooks` folder; put any notebook there, and it'll automatically be turned into a blog post using Actions. No installation required; just click and go!

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