stuartlacy.co.uk valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Stuart |
| Description | Biography Toggle navigation Stuart Lacy Home Blog Publications Projects Contact Stuart Lacy Data Scientist Wolfson Atmospheric Chemistry Laboratories, University of |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 13.225.223.34 |
| Location | United States |
Related Websites
| Site | Rank |
More to Explore
stuartlacy.co.uk Valuation
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US$1,146,864
Last updated: 2022-08-31 11:54:28
stuartlacy.co.uk has Semrush global rank of 9,228,915. stuartlacy.co.uk has an estimated worth of US$ 1,146,864, based on its estimated Ads revenue. stuartlacy.co.uk receives approximately 132,331 unique visitors each day. Its web server is located in United States, with IP address 13.225.223.34. According to SiteAdvisor, stuartlacy.co.uk is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,146,864 |
| Daily Ads Revenue | US$1,059 |
| Monthly Ads Revenue | US$31,760 |
| Yearly Ads Revenue | US$381,112 |
| Daily Unique Visitors | 8,823 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| stuartlacy.co.uk. | A | 300 | IP: 13.225.223.34 |
| stuartlacy.co.uk. | A | 300 | IP: 13.225.223.70 |
| stuartlacy.co.uk. | A | 300 | IP: 13.225.223.45 |
| stuartlacy.co.uk. | A | 300 | IP: 13.225.223.19 |
| stuartlacy.co.uk. | NS | 86400 | NS Record: ns-553.awsdns-05.net. |
| stuartlacy.co.uk. | NS | 86400 | NS Record: ns-1046.awsdns-02.org. |
| stuartlacy.co.uk. | NS | 86400 | NS Record: ns-2032.awsdns-62.co.uk. |
| stuartlacy.co.uk. | NS | 86400 | NS Record: ns-510.awsdns-63.com. |
| stuartlacy.co.uk. | MX | 3600 | MX Record: 10 mx.stuartlacy.co.uk. |
HtmlToTextCheckTime:2022-08-31 11:54:28
| Toggle navigation Stuart Lacy Home Blog Publications Projects Contact Stuart Lacy Data Scientist Wolfson Atmospheric Chemistry Laboratories, University of York Biography I’m a data scientist interested in applying machine learning to some of the biggest challenges facing society. In my current role I work on high resolution air quality measurements recorded from low-cost sensors using a combination of deep learning and Bayesian statistics. Previously I have applied machine learning to form complex survival models of haematological malignancies and analysed movement disorder data from neurodegenerative conditions. I also have an interest in software development, and in particular developing tools for others to use, such as statistical packages in R and interactive dashboards. My main tools are R, probabilistic machine learning in Stan, and PyTorch. Interests Machine Learning Bayesian statistics Air Quality Health Informatics Artificial Intelligence Education PhD in Electronic |
HTTP Headers
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