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Sites similar to mlguidebook.com

Mlguidebook alternatives & similar sites

The amateur’s guide to explore machine learning — ML Guide Book — 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
thomaswileman.com ↗	70 match 2 shared topics	Thomas Wileman - Machine Learning & Data Science	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
japkeeratsingh.com ↗	70 match 2 shared topics	Machine Learning by Japkeerat Singh	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
padme.ai ↗	69 match 2 shared topics	Edge AI platform with pre-trained machine learning models - Padmé	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
derive.io ↗	69 match 2 shared topics	Derive \| Data Science & Machine Learning \| Vishal Patel	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
jamesaksanders.com ↗	68 match 2 shared topics	James Sanders – Data Scientist, Machine Learning Scientist	en	artificial-intelligence WordPress	robotsllmsaihumans	email phone	none
scaledinference.com ↗	68 match 2 shared topics	Scaled Inference \| Artificial Intelligence & Machine Learning Tools	en	technology-and-computing WordPress	robotsllmsaihumans	emailphone	none
jamesh.dev ↗	68 match 2 shared topics	Data Science \| Machine Learning by JH	en	artificial-intelligence Webflow	robotsllmsaihumans	emailphone	none
nov8.co ↗	68 match 2 shared topics	Innov8 Technologies Inc \| Innovative AI and Machine Learning Perspectives	Colombia en	artificial-intelligence	robotsllmsaihumans	emailphone	none
thinkinator.com ↗	68 match 2 shared topics	Thinkinator \| Machines & People Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
1chipml.org ↗	67 match 2 shared topics	GitHub - 1chipML/1chipML: a library for numerical crunching and machine learning on microcontrollers · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
aetherflow.tech ↗	66 match 2 shared topics	AetherFlow \| AI Automation & Machine Learning Solutions	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
padhoai.com ↗	66 match 2 shared topics	PadhoAI - Stay Updated on AI, Generative AI, and Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
7armstech.com ↗	66 match 2 shared topics	7ArmsTech – Data Science & Machine Learning Template For Elementor	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	partial · 8
waterwaysdata.com ↗	66 match 2 shared topics	Waterway Data – AI, Machine Learning, & Data Science	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
satpugnet.com ↗	66 match 2 shared topics	Saturnin Pugnet \| Explorer · Builder · Learner	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
admintuts.net ↗	66 match 2 shared topics	Server Administration, Machine Learning & Ai Tutorials – AdminTuts is a computer science blog about machine learning, artificial intelligence & server administration providing written coding tutorials.	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
jeffchen.org ↗	66 match 2 shared topics	Jeff Chen – Computational Statistics & Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
ai-lina.com ↗	66 match 2 shared topics	Ai Lina — Your Human Guide to AI	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8

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.