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DATA MACHINA AI NEWSLETTER – A DEEP DIVE INTO AI/ ML, EVERY WEEK – Keep up with the latest in Artificial Intelligence / Machine Learning research, projects & repos — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
dataroboticsreply.com ↗	69 match 2 shared topics	Artificial Intelligence & Machine Learning \| Reply	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dataroboticsreply.co.uk ↗	69 match 2 shared topics	Artificial Intelligence & Machine Learning \| Reply	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datarobotics.co.uk ↗	69 match 2 shared topics	Artificial Intelligence & Machine Learning \| Reply	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
data-mechanics.com ↗	67 match 2 shared topics	Data Mechanics – Python, Business Intelligence, and Machine Learning with Klaus Folz	en	technology-and-computing WordPress	robots llmsaihumans	emailphone	none
donstephenson.com ↗	66 match 2 shared topics	LightStruc AI — The Anatomy of Modern Artificial Intelligence	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
mdotomer.com ↗	66 match 2 shared topics	Omer Raza - Machine Learning Researcher & Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
anotsoi.com ↗	65 match 2 shared topics	ANotSoI – Artificial (Not So) Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
2knights.ai ↗	65 match 2 shared topics	2knights.ai \| Artificial Intelligence Consulting	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
visicomscientific.com ↗	65 match 2 shared topics	Visicom Scientific Software - Building the Artificial Intelligence of the Future	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
distill.pub ↗	65 match 2 shared topics	Distill — Latest articles about machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
davisdebard.com ↗	65 match 2 shared topics	Davis M. DeBard \| Artificial Intelligence Book & Insights	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cyril-marechal.net ↗	65 match 2 shared topics	Cyril Maréchal, M.Eng. Artificial Intelligence \| C:/Maréchal	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
7armstech.com ↗	65 match 2 shared topics	7ArmsTech – Data Science & Machine Learning Template For Elementor	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
omosai.dev ↗	65 match 2 shared topics	Omos — The Intelligence Layer for Every Product	en	artificial-intelligence Spree Commerce	robotsllmsaihumans	emailphone	none
oneaibase.com ↗	65 match 2 shared topics	Latest AI Trends & Machine Learning Insights \| ONE Ai BASE	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datasciencespace.com ↗	64 match 2 shared topics	DataScienceSpace \| Data Science, AI & Machine Learning Blog	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
dataqubit.com ↗	64 match 2 shared topics	DATA QUBIT \| doing machine learning in my free time	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
faizamalik.com ↗	64 match 2 shared topics	Faiza Malik \| AI & Machine Learning Portfolio	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.