Santosh GSK

@gsksantosh

Applied AI Evangelist with over 8 years of experience in Data Scientist and ML research. I advocate for responsible data products that don't discriminate.

Bengaluru, India
medium.com/@santoshgsk
Vrijeme pridruživanja: travanj 2009.
11 fotografija ili videozapisa Fotografije i videozapisi

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  1. 4. velj

    AI Weekly Issue#20 covering Meena, HiPlot, RAPIDS FIL, Thinc, TabNet, AI Alignment, Guide to ML Research!

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    8. sij

    Since 2018, there has been immense interest in using Transformers for ASR. In my new blog post, I look at the various challenges and the solutions people have proposed.

    9 proslijeđenih tweetova 50 korisnika označava da im se sviđa
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    28. sij

    Latest video covers a paper by and on why devs want to learn ML and the problems they face.

    1 reply 4 proslijeđena tweeta 10 korisnika označava da im se sviđa
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    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:

    i
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  5. 28. sij

    I am doing a Masterclass on helping you identify your AI learning path!

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    26. sij

    This video of Kobe right before he retired Just chills man

    136 replies 29.708 proslijeđenih tweetova 104.440 korisnika označava da im se sviđa
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  7. 28. sij

    🔥 Hot off the press: “AI Weekly - Issue #19 - 25 Million Datasets Repo, Uber's Plato, Google's Flax, 17x faster BERT inference, GraphLIME, FixMatch” (via )

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  8. 27. sij

    Use Github Actions to quickly convert Jupyter Notebooks to blogs

    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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    25. sij

    After a dismal performance in the RSNA Intracranial Haemorrhage competition I pulled apart the 2nd place solution to see what they had done so right. Post 3 of 4 now up with jupyter notebooks :D Blog series: Notebooks:

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    24. sij

    After reading 's tweet about blogging in GitHub Pages, I tried to set up my own in Pages 😛 using . Here's my setting steps

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    24. sij

    Layer-sequential unit-variance (LSUV) from Dmytro Mishikin () and Jiri Matas is a one-ring-to-rule-them-all initialization method that works somewhere between well and extremely well every time. No fiddling. No fuss.

    1 reply 19 proslijeđenih tweetova 83 korisnika označavaju da im se sviđa
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  12. 24. sij

    I just published "How AI is impacting Growth Marketing!"

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    21. sij

    And today, the team open sourced the work that improved the BERT performance by 17x, details here: - get it while it is hot!

    1 reply 16 proslijeđenih tweetova 56 korisnika označava da im se sviđa
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    22. sij

    The NYC Tech Talent Pipeline's Data Analyst Training Accelerator (DATA) just graduated another cohort of analysts. 👍🏿 No loans. No ISAs. No cost. Everyone's brand new to data analysis. From Excel to SQL to Marketing Analytics to Python. This is enough to "get started in tech."

    Graduating cohort for NYC Tech Talent Pipeline DATA cohort.
    11 replies 87 proslijeđenih tweetova 469 korisnika označava da im se sviđa
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  15. proslijedio/la je Tweet
    21. sij

    🚨New lecture series🚨 We've teamed up with to bring you the Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:

    14 replies 480 proslijeđenih tweetova 1.330 korisnika označava da im se sviđa
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    20. sij

    How to get into machine learning without a degree, alternatives to traditional education, building a portfolio, applying for ML jobs, interviews, getting into research, and indie research ideas. I had an ace chat with at . Enjoy!

    10 replies 142 proslijeđena tweeta 607 korisnika označava da im se sviđa
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  17. 20. sij

    Where to apply AI in your business? 1) Automate manual processes (e.g., Customer support ticket classification) 2) Improve business logic as per changing patterns (e.g., Dynamic Pricing) 3) Create new products (e.g., self-driving cars)

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  18. 20. sij

    - End-to-End ASR Frameworks by

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  19. 20. sij

    - 9 Lessons learned from failed AI PoCs () - Translation data released by DuoLingo () - Self-supervised learning applications for CV by - Active Transfer Learning in PyTorch by - DisCo Transformer by

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  20. 20. sij

    In this AI weekly, I mention about - Using Google Cloud run for side projects () - Recipe to make deep learning bug free (@james_aka_yale) - Fast AI v2 lecture series by Zachary Mueller - Using Go for ML Infra () - Optimize Response Time of ML API

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