Website stats for Explained - explained.ai
explained.ai Deep explanations of machine learning and related topics. Website created by Terence Parr. Terence is a professor of computer science and was founding director of the MS in data science program at the University of San Francisco. While he is best known for creating the ANTLR parser generator, Terence actually started out studying neural networks in grad school (). After yea...
It has a alexa rank of #741,519 in the world. It is a domain having .ai extension. It is estimated worth of $ 1,680.00 and have a daily income of around $ 7.00. As no active threats were reported recently, explained.ai is SAFE to browse.
Traffic Report
| Daily Unique Visitors: | 1,182 |
| Daily Pageviews: | 2,364 |
Estimated Valuation
| Income Per Day: | $ 7.00 |
| Estimated Worth: | $ 1,680.00 |
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
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| WOT Privacy: |
Very Poor
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| WOT Child Safety: |
Very Poor
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Website Ranks & Scores
| Alexa Rank: | 741,519 |
| PageSpeed Score: | 89 ON 100 |
| Domain Authority: |
49 ON 100 
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| Bounce Rate: | Not Applicable |
| Time On Site: | Not Applicable |
Web Server Information
Hosted IP Address:
185.199.109.153
Hosted Country:
US
Location Latitude:
40.0656Location Longitude:
-79.8917Traffic 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 explained.ai
explained.ai
explained.ai Deep explanations of machine learning and related topics. Website created by Terence Parr. Terence is a professor of computer science and was founding …
How to explain AI in plain English | The Enterprisers Project
Cognitive scientist and Dartmouth professor John McCarthy coined the term artificial intelligence (AI) in 1955 when he began his exploration of whether machines could …
What is AI? AI Explanation and Types Overview
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Like a car, you do not need to be knowledgeable of the mechanical design and physics of how a combustible engine works to understand its use. A simple scheme of how you …
How to explain AI in plain English | The Enterprisers Project
Cognitive scientist and Dartmouth professor John McCarthy coined the term artificial intelligence (AI) in 1955 when he began his exploration of whether machines could learn and...
What is AI? AI Explanation and Types Overview
Jun 23, 2020 · So again, AI is intelligence exhibited by machines, which means learning, understanding, and then using that knowledge learned to do something. Now, AI has a...
explained.ai - The Mechanics of Machine Learning
This book is a primer on machine learning for programmers trying to get up to speed quickly.
AI Explained Easily. Understand AI in 5 minutes | by ...
Like a car, you do not need to be knowledgeable of the mechanical design and physics of how a combustible engine works to understand its use. A simple scheme of how you can...
What is Artificial Intelligence (or Machine Learning ...
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A.I. for digital marketing, explained | AI Marketing Spot
AI-enabled NLP teaches machines for real-time recognition of sounds, words and phrases, as well as the tone of a conversion or article. To see NLP in action, say “Ok Google” to...
AI Chatbots: What They Are & How They Can Help Explained
AI chatbots, which make responses by using machine learning and pattern recognition, can help people with tasks and act as a cheap workforce. By Josh Goodrich Nov 07, 2020 From...
Explainable AI vs Explaining AI — Part 1 | by ahmad haj ...
Dec 21, 2018 · Two systems of thinking. System 1 makes automatic decisions that don’t need a lot of concentration and common knowledge, like walking, holding objects,...
AI and Machine Learning in Cybersecurity: Simply Explained
AI/ML in security = misbehave detection. If you ever suffered to get through the forest of buzzwords around the artificial intelligence, then I believe I managed to help you...
[D] DeepMind's AlphaFold 2 Explained! AI Breakthrough in ...
The whole gradient descent bit (second phase) is a bit strange to me. If you have a matrix whose values are ||u(i)-u(j)|| 2, you can use norm polarization to recover the Gram...
Types Of Artificial Intelligence | Artificial Intelligence ...
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **This Edureka video on "Types Of Art...
AI, Machine Learning and neural networks explained - ICT ...
Jul 27, 2020 · Artificial Intelligence (AI) is a collection of tools and techniques that can be used to let computers do challenging tasks. AI started in the 1950, but for a...
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Jan 14, 2019 · “Unless we learn how to prepare for, and avoid, the potential risks,” he explained, “AI could be the worst event in the history of our civilization.” Stephen...
Demystifying the Buzzwords: What AI and ML Look Like in ...
Aug 17, 2020 · AI is an increasingly used term in today's technological world. In this context, AI refers to machines that can copy human intelligence properties like learning...
Page Resources Breakdown
Homepage Links Analysis
Website Inpage Analysis
| H1 Headings: | 7 | H2 Headings: | 13 |
| H3 Headings: | Not Applicable | H4 Headings: | Not Applicable |
| H5 Headings: | Not Applicable | H6 Headings: | Not Applicable |
| Total IFRAMEs: | Not Applicable | Total Images: | 12 |
| Google Adsense: | Not Applicable | Google Analytics: | UA-118361649-1 |
Two Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| machine learning | 12 | 0.899 % | No |
| decision trees | 7 | 0.524 % | No |
| is a | 6 | 0.449 % | No |
| Random Forest | 6 | 0.449 % | No |
| How to | 5 | 0.375 % | No |
| partial dependence | 5 | 0.375 % | No |
| neural networks | 4 | 0.3 % | No |
| to explain | 4 | 0.3 % | No |
| such as | 4 | 0.3 % | No |
| of the | 4 | 0.3 % | No |
| in the | 4 | 0.3 % | No |
| Forest feature | 4 | 0.3 % | No |
| feature importance | 4 | 0.3 % | No |
| a model | 3 | 0.225 % | No |
| model interpretation | 3 | 0.225 % | No |
| linear models | 3 | 0.225 % | No |
| gradient boosting | 3 | 0.225 % | No |
| the training | 3 | 0.225 % | No |
| Terence Parr | 3 | 0.225 % | No |
| visualize decision | 3 | 0.225 % | No |
Four Phrase Analysis
| Words | Occurrences | Density | Possible Spam |
|---|---|---|---|
| Random Forest feature importance | 4 | 0.3 % | No |
| to visualize decision trees | 3 | 0.225 % | No |
| How to visualize decision | 3 | 0.225 % | No |
| use permutation importance provided | 2 | 0.15 % | No |
| permutation importance provided here | 2 | 0.15 % | No |
| Python use permutation importance | 2 | 0.15 % | No |
| results in Python use | 2 | 0.15 % | No |
| get reliable results in | 2 | 0.15 % | No |
| reliable results in Python | 2 | 0.15 % | No |
| importance provided here and | 2 | 0.15 % | No |
| in Python use permutation | 2 | 0.15 % | No |
| and in our rfpimp | 2 | 0.15 % | No |
| rfpimp package via pip | 2 | 0.15 % | No |
| decision tree visualization and | 2 | 0.15 % | No |
| tree visualization and model | 2 | 0.15 % | No |
| our rfpimp package via | 2 | 0.15 % | No |
| in our rfpimp package | 2 | 0.15 % | No |
| here and in our | 2 | 0.15 % | No |
| To get reliable results | 2 | 0.15 % | No |
| provided here and in | 2 | 0.15 % | No |
Websites Hosted on Same IP (i.e. 185.199.109.153)
L7mp
L7mp Technologies is a small team of researchers and practitioners working on projects related to integrating real-time communications workloads, especially WebRTC and...
Not Applicable 
$ 8.95
SasView - Small Angle Scattering Analysis
SasView for Small Angle Scattering Analysis
Not Applicable $ 8.95
HTTP Header Analysis
Status-Code: 200
Status: 200 OK
Connection: keep-alive
Content-Length: 5508
Server: GitHub.com
Content-Type: text/html; charset=utf-8
Last-Modified: Mon, 15 Jun 2020 16:44:09 GMT
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Expires: Sun, 28 Jun 2020 05:52:50 GMT
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Date: Sun, 28 Jun 2020 05:42:50 GMT
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Domain Nameserver Information
| Host | IP Address | Country | |
|---|---|---|---|
| ns5.101domain.com | |
162.159.24.202 | United States |
| ns2.101domain.com | |
162.159.25.156 | United States |
| ns1.101domain.com | |
162.159.24.202 | United States |
DNS Record Analysis
| Host | Type | TTL | Extra |
|---|---|---|---|
| explained.ai | A | 3594 |
IP: 185.199.108.153 |
| explained.ai | A | 3594 |
IP: 185.199.109.153 |
| explained.ai | NS | 86400 |
Target: ns5.101domain.com |
| explained.ai | NS | 86400 |
Target: ns2.101domain.com |
| explained.ai | NS | 86400 |
Target: ns1.101domain.com |
| explained.ai | SOA | 14400 |
MNAME: ns1.101domain.com RNAME: ADMIN.explained.ai Serial: 2018042523 Refresh: 10800 Retry: 3600 Expire: 604800 |
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