Website stats for R2d3 - r2d3.us
Tony visualizes with D Tony is a product design manager on Facebook’s AI Platform and Tools team. Prior to Facebook, Tony led user experience and product design at Noodle Analytics, HO and at Sift Science. He holds an MFA in Interaction Design at the School of Visual Arts in New York City, where he tried to change congress with a fancy infographic. Find Tony: Portfolio Twitter Blog Lin...
r2d3.us was registered 1 decade 3 months ago. It has a alexa rank of #868,463 in the world. It is a domain having .us extension. It is estimated worth of $ 1,440.00 and have a daily income of around $ 6.00. As no active threats were reported recently, r2d3.us is SAFE to browse.
Traffic Report
| Daily Unique Visitors: | 1,010 |
| Daily Pageviews: | 2,020 |
Estimated Valuation
| Income Per Day: | $ 6.00 |
| Estimated Worth: | $ 1,440.00 |
Search Engine Indexes
| Google Indexed Pages: | Not Applicable |
| Yahoo Indexed Pages: | Not Applicable |
| Bing Indexed Pages: | Not Applicable |
Search Engine Backlinks
| Google Backlinks: | Not Applicable |
| Bing Backlinks: | Not Applicable |
| Alexa BackLinks: | Not Applicable |
Safety Information
| Google Safe Browsing: | No Risk Issues |
| Siteadvisor Rating: | Not Applicable |
| WOT Trustworthiness: |
 Very Poor
|
| WOT Privacy: |
Very Poor
|
| WOT Child Safety: |
Very Poor
|
Website Ranks & Scores
| Alexa Rank: | 868,463 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
49 ON 100 
|
| Bounce Rate: | Not Applicable |
| Time On Site: | Not Applicable |
Web Server Information
Hosted IP Address:
162.255.119.191
Hosted Country:
US
Location Latitude:
33.7273Location Longitude:
-84.4254Traffic Classification
| Total Traffic: | No Data |
| Direct Traffic: | No Data |
| Referral Traffic: | No Data |
| Search Traffic: | No Data |
| Social Traffic: | No Data |
| Mail Traffic: | No Data |
| Display Traffic: | No Data |
Search Engine Results For r2d3.us
Explorable Explanations: INFO 474 A Sp 17: Interactive Information ...
It's worth reading, as are many of his more specific essays, e.g., Kill Math. A visual introduction to Machine Learning http://www.r2d3.us/visual-intro-to- machine- ...
Visual Introduction to Machine Learning | Data Science and ... -...
arrow_drop_up. 3. one of the best visual introduction to ML to check --> http:// www.r2d3.us/visual-intro-to-machine-learning-part-1/. Quote. Follow. Bookmark ...
The Web as Medium for Data Visualization | DataJournalism.com
Source: R2D3. http://www.r2d3.us/ visual-intro-to-machine-learning-part-1/. Ampp3d, a short-lived experimental pop-data journalism outlet, used live counters to ...
Fundamentals of Learning - CPSC 340: Data Mining Machine ...
Contact us on Piazza about getting registered for Gradescope. • Midterm confirmed ... of it come from: http://www.r2d3.us/visual-intro-to-machine-learning- part-1 ...
Resources - GAITEway
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ : Intro to machine learning in a more basic way! https://elitedatascience.com/birds-eye-view : Learn ...
Everything You Ever Wanted to Know About Decision Trees in ...
30.1.2021 ... http://www.r2d3.us/visual-intro-to-machine-learning-part-1/. If you would like to deepen your understanding to include some of the maths and ...
Resources - Prewired
Let us know which bits you find useful (or not), and make suggestions for new ... Visual intro to ML: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ ...
Whende Carroll - NCSBN
9. AN INTUITIVE WAY TO UNDERSTAND MACHINE LEARNING. Source : http:// www.r2d3.us/visual-intro-to-machine-learning-part-1/ ...
Jonathan Cachat (@jcachat) • Instagram photos and videos
- https://www.instagram.com/jcachat/
www.r2d3.us is easily one of the best #statistics & #machinelearning · came across this #dialectical exploration of the #History of #Philosophy - http:.
R2D3 – Machine Learning Visual Introduction – Mindset Agile Insights
... for intuitively understanding complex concepts in machine learning including splits, decision trees, recursion, and making predictions. http://www.r2d3.us ...
R2D3: Statistics and Data Visualization
R2D3 is an experiment in expressing statistical thinking with interactive design. Find us at @r2d3us. Questions? Check out the FAQs. Stephanie interprets R2.
[ONLINE] Workshop - Basics of Machine Learning | Meetup
7 päivää sitten ... This time Betül will show us how to get started with Machine Learning ... others too :) http://www.r2d3.us/visual-intro-to-machine-learning-part-1/
How to make a Decision Tree in Python using sklearn - Level Up ...
6.11.2019 ... Be the first to respond. You have 2 free member-only stories left this month. Sign up for Medium and get an extra one. Image by r2d3.us ...
Designer-friendly Resources to Study AI and Machine Learning
26.6.2018 ... www.r2d3.us. Machine learning explained in interactive visualizations. If you keep scrolling, you can understand the way of how a data set ...
Yuriy Dybskiy
8.1.2016 ... http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ · https://github.com/ kaishengtai/neuralart · https://github.com/ryankiros/neural- ...
PowerPoint Presentation
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/. Hierarkkinen klusterianalyysi: http://www.econ.upf.edu/~michael/stanford/maeb7.pdf.
Visual Way of picking up the basics of Machine Learning
29.4.2021 ... ... and engaging approach of explaining Machine Learning 101. http://www.r2d3. us/visual-intro-to-machine-learning-part-2/ · machine learning ...
Machine Learning and Data Mining | Institute WeST
Free online at: http://www.deeplearningbook.org/; A visual introduction to machine learning: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ ...
How do you explain Random Forrest to a non-technical person?
Not answering the question but I think this is the best "simple" data viz that explain how it works: http://www.r2d3.us/visual-intro-to-machine-learning-part-1/. Ok.1.
How do you animate axis transitions with d3 in r2d3? - Stack Overflow
21.2.2021 ... Every time you update the data, you create a new g element for each axis. This creates multiple g elements with the class x_axis / y_axis , all of ...
data science for crime scientists (advanced crime analysis) 2018/2019
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/; Kuhn, M., & Johnson, K. (2013). Applied Predictive Modeling. New York: Springer-Verlag. Retrieved ...
A Visual Introduction to the Bias-Variance Tradeoff - DataCamp
... Introduction to the Bias-Variance Tradeoff. r2d3.us. Extremely interesting visual explanations of the bias-variance tradeoff in supervised machine learning.
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | Not Applicable | H2 Headings: | 1 |
| H3 Headings: | 4 | H4 Headings: | Not Applicable |
| H5 Headings: | Not Applicable | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 6 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-56084033-1 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| Sift Science | 2 | 1.176 % | No |
| product design | 2 | 1.176 % | No |
| Platform and | 1 | 0.588 % | No |
| and Tools | 1 | 0.588 % | No |
| AI Platform | 1 | 0.588 % | No |
| on Facebook’s | 1 | 0.588 % | No |
| design manager | 1 | 0.588 % | No |
| manager on | 1 | 0.588 % | No |
| Tools team | 1 | 0.588 % | No |
| Facebook’s AI | 1 | 0.588 % | No |
| Prior to | 1 | 0.588 % | No |
| user experience | 1 | 0.588 % | No |
| experience and | 1 | 0.588 % | No |
| and product | 1 | 0.588 % | No |
| led user | 1 | 0.588 % | No |
| Tony led | 1 | 0.588 % | No |
| a product | 1 | 0.588 % | No |
| to Facebook | 1 | 0.588 % | No |
| Facebook Tony | 1 | 0.588 % | No |
| team Prior | 1 | 0.588 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| Platform and Tools team | 1 | 0.588 % | No |
| and Tools team Prior | 1 | 0.588 % | No |
| Tools team Prior to | 1 | 0.588 % | No |
| team Prior to Facebook | 1 | 0.588 % | No |
| AI Platform and Tools | 1 | 0.588 % | No |
| Facebook’s AI Platform and | 1 | 0.588 % | No |
| design manager on Facebook’s | 1 | 0.588 % | No |
| manager on Facebook’s AI | 1 | 0.588 % | No |
| on Facebook’s AI Platform | 1 | 0.588 % | No |
| Prior to Facebook Tony | 1 | 0.588 % | No |
| to Facebook Tony led | 1 | 0.588 % | No |
| and product design at | 1 | 0.588 % | No |
| product design at Noodle | 1 | 0.588 % | No |
| design at Noodle Analytics | 1 | 0.588 % | No |
| experience and product design | 1 | 0.588 % | No |
| user experience and product | 1 | 0.588 % | No |
| Facebook Tony led user | 1 | 0.588 % | No |
| Tony led user experience | 1 | 0.588 % | No |
| led user experience and | 1 | 0.588 % | No |
| product design manager on | 1 | 0.588 % | No |
Websites Hosted on Same IP (i.e. 162.255.119.191)
HTTP Header Analysis
Status-Code: 200
Status: 200 OK
Connection: keep-alive
Server: gunicorn/20.0.4
Date: Sun, 11 Jul 2021 13:52:06 GMT
Content-Type: text/html; charset=utf-8
Content-Length: 3356
Content-Encoding: gzip
Vary: Accept-Encoding
Via: 1.1 vegur
Domain Information
| Domain Registrar: |
NEUSTAR INC.
|
|---|---|
| Registration Date: | 2014-07-28 1 decade 3 months 2 weeks ago |
| Owner's E-Mail: |
[email protected]
|
Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| dns2.registrar-servers.com | |
156.154.133.200 | United States |
| dns1.registrar-servers.com | |
156.154.132.200 | United States |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| r2d3.us | A | 1796 |
IP: 162.255.119.191 |
| r2d3.us | NS | 1800 |
Target: dns1.registrar-servers.com |
| r2d3.us | NS | 1800 |
Target: dns2.registrar-servers.com |
| r2d3.us | SOA | 3601 |
MNAME: dns1.registrar-servers.com RNAME: hostmaster.registrar-servers.com Serial: 1573493946 Refresh: 43200 Retry: 3600 Expire: 604800 |
| r2d3.us | MX | 1800 |
Priority: 10 Target: mx1.privateemail.com |
| r2d3.us | MX | 1800 |
Priority: 10 Target: mx2.privateemail.com |
| r2d3.us | TXT | 1800 |
TXT: v=spf1 include:spf.privateemail.com ~all |
Full WHOIS Lookup
Registry Domain ID:
D46111992-US
Registrar WHOIS Server:
whois.namecheap.com
Registrar URL:
http://www.namecheap.com
Updated Date:
2020-06-11T04:47:11Z
Creation Date:
2014-07-27T21:19:29Z
Registry Expiry Date:
2023-07-26T23:59:59Z
Registrar: NameCheap, Inc.
Registrar IANA
ID: 1068
Registrar Abuse Contact Email:
[email protected]
Registrar Abuse Contact Phone:
+1.6613102107
Domain Status: clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Registry Registrant
ID: C3F4164528E4D491587398C34ADE0FEDC-NSR
Registrant Name:
Stephanie Yee
Registrant Organization:
Registrant Street: 508
octavia st apt 2
Registrant Street:
Registrant
Street:
Registrant City: SAN FRANCISCO
Registrant
State/Province: CA
Registrant Postal Code: 94102
Registrant
Country: US
Registrant Phone: +1.6024560933
Registrant Phone
Ext:
Registrant Fax:
Registrant Fax Ext:
Registrant Email:
[email protected]
Registr
ant Application Purpose: P3
Registrant Nexus Category:
C12
Registry Admin ID:
CC87E84DC609C4F25B60044CFD9D6FFEB-NSR
Admin Name: Stephanie
Yee
Admin Organization:
Admin Street: 508 octavia st apt
2
Admin Street:
Admin Street:
Admin City: SAN
FRANCISCO
Admin State/Province: CA
Admin Postal Code:
94102
Admin Country: US
Admin Phone: +1.6024560933
Admin
Phone Ext:
Admin Fax:
Admin Fax Ext:
Admin Email:
[email protected]
Registr
y Tech ID: C1E02000484F6485E8DF9B7DDCE1521AB-NSR
Tech Name:
Stephanie Yee
Tech Organization:
Tech Street: 508 octavia st
apt 2
Tech Street:
Tech Street:
Tech City: SAN
FRANCISCO
Tech State/Province: CA
Tech Postal Code:
94102
Tech Country: US
Tech Phone: +1.6024560933
Tech
Phone Ext:
Tech Fax:
Tech Fax Ext:
Tech Email:
[email protected]
Name
Server: dns2.registrar-servers.com
Name Server:
dns1.registrar-servers.com
DNSSEC: unsigned
URL of the ICANN
Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>>
Last update of WHOIS database: 2021-07-11T13:52:09Z
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