ml.cmu.edu


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Tags Whois Rank Speed Safety Headers Similar Sites Keywords H Tags

ml.cmu.edu Website Info

ml.cmu.edu (The machine learning department at Carnegie Mellon University (ml.cmu.edu) is renowned for its pioneering research and comprehensive educational programs in artificial intelligence and machine learning. It collaborates across various disciplines to advance knowledge and develop innovative solutions in AI, data science, and related fields.) It's hosted by Carnegie Mellon University. DNS looks Active and website looks Accessable. According to Google, website speed score is 85/100 and AVERAGE. Website looks safe for children.
ml.cmu.edu


ml.cmu.edu Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Accessable Url:
https://www.ml.cmu.edu
Title:
Machine Learning - CMU - Carnegie Mellon University | @mldcmu
Description:
Machine Learning Department at Carnegie Mellon University. Machine learning (ML) is a fascinating field of AI research and practice, where computer agents improve through experience. Machine learning is about agents improving from data, knowledge, experience and interaction...
Mobile Friendly?:
✓ Yes
Canonical URL:
[Not Set]

ml.cmu.edu Domain & Whois Details

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Server Type:
Apache
Hosting Location:
US - UNITED STATES
Hosting Provider:
Carnegie Mellon University
IP:
128.2.217.27



ml.cmu.edu Website Speed (Desktop)

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Overall Category:
AVERAGE
The human readable speed "category"
Speed Index:
85
Speed Index shows how quickly the contents of a page are visibly populated. [Learn more about the Speed Index metric].
Cumulative Layout Shift (CLS):
0.1 (FAST)
The Cumulative Layout Shift (CLS) metric measures how much unexpected layout shifts affect the user experience on a page. These layout shifts occur when content moves around without prior user input. CLS
Time to First Byte (TTFB):
1.176 s (AVERAGE)
TTFB (time to first byte) is the number of milliseconds it takes for a client’s browser to receive the first byte of the response from the web server. Usually, TTFB can be improved with faster hosting and server optimizations. TTFB
First Input Delay (FID):
4 ms (FAST)
First Input Delay (FID) measures the time from when the user interacts with your site for the first time (click a link, tap on a button, etc.) to the time when the browser is able to respond to that interaction. Google recommends keeping FID below 100ms for a good user experience. FID
First Contentful Paint (FCP):
1.584 s (FAST)
FCP (First Contentful Paint) measures the time from a user’s navigation to when the browser renders the first bit of content from the DOM. In other words, FCP marks the time at which the first text or image is painted for the user. According to PageSpeed Insights, FCP should occur in under 2 seconds. FCP
Largest Contentful Paint (LCP):
3.283 s (AVERAGE)
Largest Contentful Paint (LCP) is a metric that measures when the largest content in the viewport is rendered. It is used to measure how long it takes for the main content of your webpage to appear on the screen. Everything below 2.5s is considered good LCP time by PageSpeed Insights. LCP
Total Size:
3403 KB
Total Size. Large network payloads cost users real money and are highly correlated with long load times.
Server Response Time:
60 ms
Initial server response time. Keep the server response time for the main document short because all other requests depend on it. [Learn more about the Time to First Byte metric](https://developer.chrome.com/docs/lighthouse/performance/time-to-first-byte/).
Final Url:
https://www.ml.cmu.edu/
Canonicalized and final URL for the document, after following page redirects (if any).
Last Date Checked:
8/13/2023 11:34:05 AM
The last time we checked this website.
Site Speed Check(Full)


ml.cmu.edu Website Safety

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Last Check Date:
2/22/2023 11:21:18 PM
Fortiguard:
Education
Mcafee Category:
Education/Reference
OpenDNS:
Educational Institutions
Cloudflare DNS:
OK
MyWot Child Safety:
93

ml.cmu.edu HTTP Headers

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Accept-Ranges :
bytes
Cache-Control :
no-cache, no-store, must-revalidate, max-age=0
Connection :
Keep-Alive
Content-Length :
264684
Content-Type :
text/html
Date :
Fri, 09 Jun 2023 16:17:24 GMT
expires :
0
Keep-Alive :
timeout=5, max=100
Last-Modified :
Thu, 08 Jun 2023 19:45:38 GMT
Pragma :
no-cache
Server :
Apache
Set-Cookie :
BIGipServer~SCS~wehost-pool-443=181011072.47873.0000; path=/; Httponly; Secure
Vary :
Accept-Encoding


ml.cmu.edu W3C HTML Validation Check Now

Last Check Date:
6/2/2023 12:00:00 AM
Errors:
38
Warnings:
0
Info:
13
Check Live:
Check ml.cmu.edu HTML Errors

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ml.cmu.edu Site Keywords

AI research
algorithms
ARTIFICIAL INTELLIGENCE
Automated Machine Learning
big data
carnegie mellon
Carnegie Mellon University
CMMI
CMU
Computer Science
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SEI

ml.cmu.edu Site H Tags

Check Now
h1
Machine Learning Department | CMU | Carnegie Mellon University
h2
Machine Learning Recent News
h2
Machine Learning Open House For Accepted Ph.D. Students March 18 and 19, 2
h2
Globally Known in AI & ML
h2
Ranked #1
h2
World Renowned Faculty
h2
What is Machine Learning?
h2
A message from Manuela Veloso - Herbert A. Simon University Professor
h2
Apply to a Machine Learning Program
h2
PhD
h2
Master's
h2
Undergraduate
h3
Calendar
h3
For PhD & Master Programs
h3
in Machine Learning & AI U.S. News & World Report 2018
h3
Since 1997
h3
Virtual Graduate Student Orientation
h3
Faculty Openings
h3
ML@CMU Has Launched
h4
August 28, 2020

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