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Sharp Sight

Company blog · sharpsightlabs.com/blog · on HN as SharpSightLabsdataprogramming

Sharp Sight is the company blog at sharpsightlabs.com, writing about data and programming. Since 2014, 6 different Hacker News readers have linked it 106 times, most often “The real prerequisite for machine learning isn’t math, it’s data analysis”. No feed was found, so read it on the site itself.

No feed foundVisit the blog
106mentions?
6HN people?
2014–2020first – last linked?
Links on Hacker News per year · peak 31 in 2018

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

HN readers link this blog's post arguing that data analysis, not formal math, is the real prerequisite for machine learning, focused on business and company use of data science.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

AI Engineering & Strategy for Startups and Mid-Market Companies.

The author on HN?

SharpSightLabs · 65 karma · member since 2014

www.sharpsightlabs.com

From their public HN profile, which links to this site.

Most-linked posts?

  1. The real prerequisite for machine learning isn’t math, it’s data analysis
    3 people · 3 mentions · first linked 2017-09-02
  2. The real prerequisite for machine learning isn’t math, it’s data analysis
    2 people · 2 mentions · first linked 2016-05-16
  3. Why R is the best data science language to learn today
    2 people · 2 mentions · first linked 2017-01-03

What Hacker News says?

  1. (I'm assuming that we are talking about the original post http://sharpsightlabs.com/blog/machine-learning-prerequisite... reposted on r-bloggers, focusing on business/company use of data science, not necessarily on the many other uses). Lots of folks like to slag these articles and talk about how "If it's not real Maths, it's crap" ( http://www.dailymotion.com/video/xgzfxs ), but if you've worked in larger orgs, you…

    Comment linking /blog/machine-learning-prerequisite-isnt-math/

    on “The real prerequisite for machine learning isn’t math, it’s data analysis (2016)”
  2. Submitted Stop trying to jump to the sexy stuff first as a story · 12 points

    HN discussion
  3. I also highly recommend R. Dplyr and ggplot2 (noted by baldfat) are exceptional. I recently wrote a tutorial on dplyr here: http://www.sharpsightlabs.com/dplyr-intro-data-manipulation-... To put this simply, dplyr's syntax is set up to create streamlined workflows. All of the major data management tasks (sort, subset, group, summarize) are easy to do. And they can be "chained" together (much like using pipes in Unix…

    Comment linking /dplyr-intro-data-manipulation-with-r/

    on “Introduction to Data Analysis in R”
  4. Submitted How to reshape your Python data with Numpy as a story · 8 points

    HN discussion
  5. Submitted The real prerequisite for machine learning isn’t math, it’s data analysis as a story · 7 points

    HN discussion
  6. Submitted How to make small multiple charts with ggplot2 (facet_grid) as a story · 6 points

    HN discussion
  7. Submitted Why you should learn R first to learn data science as a story · 5 points

    HN discussion
  8. Submitted A quick introduction to dataframes in Python as a story · 4 points

    HN discussion
  9. Submitted Why R is the best data science language to learn today as a story · 4 points

    HN discussion
  10. Submitted Why you should master your language (even if it may eventually become obsolete) as a story · 4 points

    HN discussion
  11. Submitted Tutorial: data visualization and exploration using R's ggplot2 and dplyr as a story · 4 points

    HN discussion
  12. Submitted Data science tutorial: rapid data manipulation in R with dplyr as a story · 4 points

    HN discussion
  13. Submitted How to use Pandas iloc to subset data as a story · 3 points

    HN discussion
  14. Submitted How to use the NumPy mean function as a story · 3 points

    HN discussion
  15. Submitted How to use the NumPy concatenate function as a story · 3 points

    HN discussion
  16. Submitted A quick introduction to the NumPy array as a story · 3 points

    HN discussion
  17. Submitted How to do a linear regression in R as a story · 3 points

    HN discussion
  18. Submitted R vs Python: which to choose for data science as a story · 3 points

    HN discussion
  19. Submitted Why you don't need much math to learn data science as a story · 3 points

    HN discussion
  20. Submitted How to highlight data in ggplot2 as a story · 3 points

    HN discussion
  21. Submitted Mapping Wikipedia economic data using R and ggplot2 as a story · 3 points

    HN discussion
  22. Submitted How to make a line chart in R with ggplot2 as a story · 3 points

    HN discussion
  23. Submitted Beautiful data: mapping USA rivers in R as a story · 3 points

    HN discussion
  24. Submitted How to create a beautiful map, using R as a story · 3 points

    HN discussion
  25. Submitted How to analyze a dataset in R as a story · 3 points

    HN discussion
  26. Submitted The best tool for learning how to “think about data visualization” as a story · 3 points

    HN discussion
  27. Submitted What's the difference between machine learning, statistics, and data mining? as a story · 3 points

    HN discussion
  28. Submitted The one machine learning concept you need to know as a story · 3 points

    HN discussion
  29. Submitted A quick introduction to machine learning in R with caret as a story · 3 points

    HN discussion
  30. Submitted Why data science students should start with data visualization and manipulation as a story · 3 points

    HN discussion

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