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  1. proslijedio/la je Tweet
    2. velj
    Odgovor korisniku/ci

    A PhD is definitely not required. All that matters is a deep understanding of AI & ability to implement NNs in a way that is actually useful (latter point is what’s truly hard). Don’t care if you even graduated high school.

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  2. proslijedio/la je Tweet
    31. sij

    Why Random Forests can’t predict trends and how to overcome this problem. by

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  3. proslijedio/la je Tweet
    31. sij

    Amazon AWS: $40B revenue run-rate Grew 34% annually 67% of Amazon's operating income Microsoft Azure: Est. $20B revenue run-rate Grew 62% annually & accelerating Tracking to be Microsoft's largest business soon Remarkable. Two $1T companies are driven by cloud infrastructure.

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  4. proslijedio/la je Tweet
    30. sij

    Sacrifice --> One of the most under-appreciated skills for success. Just hard work isn't enough.

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  5. proslijedio/la je Tweet
    30. sij

    One of the best decisions we ever made Applied Deep Learning Research was to standardize on for all our research. It has made us more productive and made our work more fun. Glad to see agrees!

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  6. proslijedio/la je Tweet
    29. sij

    If you’d like to use RAPIDS in Kaggle competitions, now it can be easily installed with the dataset below. It takes ~40 seconds to install, compared to ~6 minutes when using conda install.

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  7. proslijedio/la je Tweet
    29. sij

    A friend just sent me this excerpt from a Tesla blog I wrote 14 years ago

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  8. proslijedio/la je Tweet
    29. sij

    Amazing work. PS: we're all so screwed.

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  9. proslijedio/la je Tweet
    27. sij

    Before you begin, think as if you are a lazy person. Assume the competition will work harder. Your only chance is a better strategy. After you begin, work as if you are a dumb person. Assume the competition is smarter and more talented. Your only chance is to outwork them.

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  10. proslijedio/la je Tweet
    25. sij

    This semester I'm teaching a new PhD course "Economics, AI, and Optimization." I'll be covering how AI/Opt methods enable large-scale economic solution concepts. I'm planning to share lectures notes that I hope will be of broader interest.

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  11. 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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  12. proslijedio/la je Tweet
    25. sij

    Generative Adversarial Networks are a pretty active appl. and research field, and I am really glad that there are the occasional reviews that summarize recent developments: "A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications"

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  13. proslijedio/la je Tweet
    25. sij

    If you create it for yourself, it’s art. If you create it for others, it’s business.

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  14. proslijedio/la je Tweet
    23. sij

    Following the tradition, I am going to share all the course material for "STAT 453: Introduction to Deep Learning and Generative Models" I am teaching this semester :)

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  15. proslijedio/la je Tweet
    15. sij

    How has helped us advance a new paradigm of agile software development: both experimentation and production ready code within a single workflow! 🌎

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  16. proslijedio/la je Tweet
    14. sij

    I often meet research scientists interested in open-sourcing their code/research and asking for advice. Here is a thread for you. First: why should you open-source models along with your paper? Because science is a virtuous circle of knowledge sharing not a zero-sum competition

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  17. proslijedio/la je Tweet
    14. sij

    Wow. Today has been surreal. I’m so incredible proud of the company that the team has built over the past 7 years. Today’s announcement is a huge milestone for our company, customers, bank partners, and the fintech ecosystem!

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  18. proslijedio/la je Tweet
    13. sij

    I've been at this startup for less than a month and I've been exposed to so many problems I didn't even know existed. I'm of the increasing belief that everyone should try a startup early in their career, e.g. within the first 3 years/before settling into complacency.

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  19. proslijedio/la je Tweet
    11. sij

    “Meet AdaMod: a new deep learning optimizer with memory” by Less Wright

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  20. proslijedio/la je Tweet
    11. sij

    Just another 17 lines of code and this is now a complete DataBunch cleaner for image classification! Select from train/valid, choose a category, and delete or re-label images, sorted by loss (so images most likely to be wrong appear first). Everything refreshes automatically.

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