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Dallas Data Science Academy - Learn AI, Data Science, and Analytics with Real-World Stories — 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
navigatorbbs.com ↗	68 match 1 shared topics	NavigatorBBS - Modern data science and applied AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
gaurangkakade.com ↗	68 match 1 shared topics	Gaurang Kakade \| Data Science & Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
nesenaz.com ↗	68 match 1 shared topics	Neşenaz Yalçın \| AI, Data Science & Software Engineering	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
intellerts.com ↗	67 match 1 shared topics	Intellerts - Experts in Data Science and Artificial Intelligence	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
sisekelo.dev ↗	67 match 1 shared topics	Sisekelo Sinyolo \| Junior Data Scientist \| Sisekelo Sinyolo \| Data Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
datascience.eu ↗	67 match 1 shared topics	The #1 Multilingual Source for DataScience in Europe — DATA SCIENCE	European Union en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
garygahagan.com ↗	67 match 1 shared topics	Gary Gahagan - Data and Analytics Executive and Strategist \| Gary Gahagan	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
crazydata.eu ↗	67 match 1 shared topics	CrazyData Europe - Data Science, Big Data, Artificial Intelligence, Cognitive Computing	European Union en	artificial-intelligence WordPress	robots llmsaihumans	emailphone	none
causalaicanvas.com ↗	67 match 1 shared topics	causalscience.org - causalscience.org aims to bring academia and industry together to advance causal inference in practice.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
skafahad.com ↗	67 match 1 shared topics	SK Ahammad Fahad - AI Researcher & Data Science Leader	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
data2action.eu ↗	66 match 1 shared topics	Datavysts \| Rebooting data science to build a better future	European Union en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2escience.com ↗	66 match 1 shared topics	2E Science — Custom AI Skills for Life Sciences	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
vorithm.com ↗	66 match 1 shared topics	Vorithm - Ace Your Data Science Interviews	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
interact-space.com ↗	66 match 1 shared topics	Interactive Space - Medical Data Science & AI Research	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
volis.ai ↗	66 match 1 shared topics	Volis \| Data Architecture, Advanced Analytics & AI Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
intuitivedataanalytics.com ↗	66 match 1 shared topics	Intuitive Data Analytics I Speed to Insights	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
vortex-data.com ↗	66 match 1 shared topics	Vortex Data & AI \| Data Science & AI for Enterprise	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
atva.ai ↗	66 match 1 shared topics	ATVA.AI - AI, ML & Data Analytics Solutions \| Voice AI Agents & Automation	India~ 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.