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My Journey into Data Science and Machine Learning – From Physics to Wireless Communications to Data Science and Machine Learning — 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
donml.io ↗	70 match 1 shared topics	Don's Machine Learning - My Machine Learning Journey	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
factionai.io ↗	69 match 1 shared topics	Faction – Artificial Intelligence & Machine Learning – Artificial Intelligence & Machine Learning	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
kdnuggets.com ↗	67 match 1 shared topics	Data Science, Machine Learning, AI & Analytics - KDnuggets	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bridgingai.com ↗	66 match 1 shared topics	Bridging Academia and Industry – Thoughts on Big Data and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
fairmlbook.org ↗	66 match 1 shared topics	Fairness and machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
5ht.ai ↗	66 match 1 shared topics	5ht – Virtual Agents and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
d2l.ai ↗	66 match 1 shared topics	Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
olufemivictor.com ↗	66 match 1 shared topics	Victor Olufemi • Data Scientist, Machine Learning, AI Ethics Advocate	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
spokaneai.io ↗	66 match 1 shared topics	Artificial Intelligence – Spokane Washington's Machine Learning and Big Data Authority	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bifold.berlin ↗	66 match 1 shared topics	BIFOLD Berlin - Big Data Management and Machine Learning	en	artificial-intelligence TYPO3	robotsllmsaihumans	emailphone	none
mazinsalim.com ↗	66 match 1 shared topics	Mazin Salim \| AI Engineer - Machine Learning, Deep Learning & AI Solutions	United States~ en	artificial-intelligence	robots llms aihumans	emailphone	none
everything-ds.com ↗	66 match 1 shared topics	Applied Data Science \| Interactive Learning Platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
entropyreduction.ai ↗	66 match 1 shared topics	ENTROPY REDUCTION – Machine Learning and AI Advisors	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
cv-tricks.com ↗	65 match 1 shared topics	CV-Tricks.com – Learn Machine Learning, AI & Computer vision	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
csadrian.org ↗	65 match 1 shared topics	Adrián Csiszárik - Machine Learning Scientist	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
anjinanalytics.com ↗	65 match 1 shared topics	Anjin Analytics \| Analytics - Machine Learning - A.I. - B.I. - Applications	United States~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
heitorgomes.com ↗	65 match 1 shared topics	Heitor Murilo Gomes - Machine Learning for Data Streams	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ssteinresearch.com ↗	65 match 1 shared topics	Sebastian Stein \| Researcher on shared autonomy and intelligent agents, spanning HCI, ubiquitous computing and machine learning.	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.