What Topics Does Benoit Essiambre Write About on benoitessiambre.com?

Benoit Essiambre's site is a personal homepage for his writings and links, and the topics he names are math-heavy: Bayesian probabilities, information theory, and machine learning. He also writes about economics, an interest he says was sparked by the 2008 global financial crisis, and about applying these ideas to building and positioning products. The site itself presents this as a personal statement of interests rather than a categorized blog, so treat the list as the author's own description of what he covers.

The Core Subject Areas

The welcome text on the site groups his interests into four connected areas:

• Bayesian probabilities — listed first among the "mathy" topics he is interested in.
• Information theory — named alongside Bayesian methods as a core interest.
• Machine learning — the third math-related subject he cites.
• Economics — an "armchair interest" that began with the 2008 financial crisis.

He describes his background in these areas as "a somewhat dated master's degree in these sorts of things," which sets the level: informed and technical, but presented in his own words as personal writing rather than formal research output.

How the Topics Connect

The through-line in his description is practical application. He says he likes "to find practical applications for this type of knowledge when building and positioning products." That means the math and economics interests are not presented as separate academic hobbies; they are framed as tools he brings to product work. If you are reading the site for product-thinking content, expect it to lean on probability, information, and economic reasoning rather than on marketing tactics.

What the Site Actually Contains

The page describes itself as "Writings and links." That is the clearest statement of format: essays or notes by the author, plus pointers to external material. There is no evidence in the available page content of a topic index, a publication schedule, or a newsletter. The page carries a 2020 date, so the material should be read as a snapshot of his stated interests at that point rather than a continuously updated feed.

A Note on Tone

The welcome message is deliberately informal — "Please stay as long as you'd like. It's no bother at all." This matches the "armchair" framing of the economics interest: the site reads as a personal notebook shared publicly, not a professional publication with editorial standards to meet.

Who This Is For

The site is a reasonable stop if you want to see how one person with a math and machine-learning background connects probability, information theory, and economics to product decisions. It is less useful if you need structured tutorials, current commentary, or a large archive organized by topic — the available page content does not indicate any of those.

To decide whether to spend time there, start with the welcome page to confirm the topic list still matches your interest, then follow the "links" portion, since the site explicitly presents itself as a mix of his own writings and pointers to elsewhere.