Fırat Melih Yılmaz

@fratmelhylmaz

MSc in Data Science at DEU | BA in Economics at UU'19

Vrijeme pridruživanja: srpanj 2013.

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  2. proslijedio/la je Tweet
    31. sij

    I am so very excited to announce that {ggeasy} is now a CRAN package! Having trouble remembering how to tweak your {ggplot2} components? We got you covered.

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  3. 1. velj

    “The second big myth of data science is that every data science project needs big data and needs to use deep learning. In general, having more data helps, but having the right data is more important requirement.” Data Science, J. D. Kelleher.

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    New {rvest} vignette has just been published for those just starting on the wonderful world of web-scraping.

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  5. proslijedio/la je Tweet
    31. sij

    Slides from my talk about queryparser, tidyquery, and all things SQL ⇄ dplyr! I'll share the recording when it's up

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    31. sij

    Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition by Alexandros Haliassos et al.

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  7. 30. sij
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  8. 30. sij
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    30. sij
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  10. proslijedio/la je Tweet
    29. sij

    Most discoveries in finance are false due to p-hacking. This seminar explains how machine learning methods can overcome the flaws of p-values, and facilitate the discovery of new theories:

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  11. 29. sij

    Learning: algorithms ”learn” from data by modeling features and updating probability weights assigned to feature nodes in testing how relevant specific features are in determining the general type of item.

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  12. 29. sij

    Why is it called Deep Learning? Deep: hidden layers (cascading tries) of processing. ”deep” networks(+3 layers) versus ”shallow” (1-2 layers)

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  13. proslijedio/la je Tweet
    28. sij

    +, Σ, and ∫ are just different evolutions of the same Pokémon

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  14. 28. sij
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    28. sij
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    27. sij

    I spent four years learning to run efficient regression analyses in R. Now I've written them into some handy functions so you won't have to.

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    28. sij

    Feature selection in machine learning: R\'enyi min-entropy vs Shannon entropy.

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  18. 26. sij

    İnsan bari ANN hadi bilemedin SVR falan kurar. OLS nedir 💆🏼‍♂️

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  19. 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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  20. proslijedio/la je Tweet
    25. sij

    If you ever need to write a cover letter for a company and don't wanna waste your time, use gpt-2.

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