similar sites

Browse

AI Report Tools

Sites similar to datashaping.com

Datashaping alternatives & similar sites

Machine Learning, Statistics and Mathematics eBooks — 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
datahulu.com ↗	76 match 1 shared topics	Notes on data science and machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
kdnuggets.com ↗	74 match 1 shared topics	Data Science, Machine Learning, AI & Analytics - KDnuggets	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
machinelearning.uk ↗	74 match 1 shared topics	Machine learning	United Kingdom en	artificial-intelligence	robotsllmsaihumans	emailphone	none
donml.io ↗	73 match 1 shared topics	Don's Machine Learning - My Machine Learning Journey	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cv-tricks.com ↗	73 match 1 shared topics	CV-Tricks.com – Learn Machine Learning, AI & Computer vision	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
keithyoder.com ↗	73 match 1 shared topics	Keith J. Yoder – combining statistical modeling, machine learning, cognitive neuroscience, and social decision-making	en	artificial-intelligence WordPress WooCommerce	robotsllmsaihumans	emailphone	none
fairmlbook.org ↗	72 match 1 shared topics	Fairness and machine learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
antongordon.com ↗	72 match 1 shared topics	Machine Learning \| Anton Gordon	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
bridgingai.com ↗	72 match 1 shared topics	Bridging Academia and Industry – Thoughts on Big Data and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
fabricioflores.com ↗	71 match 1 shared topics	Fabricio Flores - Machine Learning \| Applied Mathematics	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bughouse.dev ↗	71 match 1 shared topics	The Bughouse - AI and Machine Learning Projects	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
bryanbosire.com ↗	71 match 1 shared topics	Bryan Bosire \| Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
danieljdavies.com ↗	71 match 1 shared topics	Daniel Davies - Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
stackvidhya.com ↗	71 match 1 shared topics	Definitive Python, AWS, And Machine Learning Tutorials - Stack Vidhya	India~ en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
bartl.ai ↗	71 match 1 shared topics	Alexander Bartl - Machine Learning Engineer	en	artificial-intelligence	robotsllmsaihumans	email phone	none
dataverse.com ↗	71 match 1 shared topics	Dataverse \| Machine Learning \| AI	en	artificial-intelligence Wix	robots llmsaihumans	emailphone	none
5ht.ai ↗	70 match 1 shared topics	5ht – Virtual Agents and Machine Learning	en	artificial-intelligence WordPress	robotsllmsaihumans	emailphone	none
datalearninglab.tech ↗	70 match 1 shared topics	Data Learning Lab - Data Science \| Data Engineering \| Machine Learning	en	artificial-intelligence WordPress	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.