Numsense! Data Science For The Layman: No Math Added Annalyn 46

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Elis Riebow

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Jul 9, 2024, 10:27:08 PM7/9/24
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"... Having been familiar with the work of Annalyn Ng and Kenneth Soo for some time, it comes as no surprise that the book delivers on its titular promise. This is data science for the layman, and the often-complex math -- which the book describes at a high level -- is intentionally not covered in detail. But don't be misled: this does not mean that the contents are in any way watered down. In fact, the information contained within is robust, with its strength being that it is abridged and concise."

I analyze HR data, such as IQ and personality scores, to improve selection and deployment decisions in the Singapore government. I also authored the best-selling book, Numsense! Data Science for the Layman (no math added), which has been used by top universities like Stanford and Cambridge as reference text. You can check it out here:

Numsense! Data Science For The Layman: No Math Added Annalyn 46


Download Zip ---> https://geags.com/2yWTCh



Algobeans is authored by Annalyn Ng (University of Cambridge) and Kenneth Soo (Stanford University). We noticed that while data science is increasingly used to improve workplace decisions, many people do not have a good understanding of how it works. Our goal is to support anyone who wants to get started in data science. Each tutorial covers the important functions and assumptions of a data science technique, without any math or jargon. We also illustrate these techniques with real-world data and examples.

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