ejls.fr évaluation et analyse
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
User-agent: * Disallow: /j/ | ||
Meta Tags
| Title | Étienne Simon’s homepage: |
| Description | Étienne Simon Navigation Home Projects Teaching Repositories Path navigation [ ~ ] About me I’m a PhD candidate in machine learning at LIP6 , Sorbonne Uni |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 51.15.171.78 |
| Location | United Kingdom |
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ejls.fr Évaluation
|
Euro€2,584,643
Dernière mise à jour: 2022-09-20 00:03:34
ejls.fr a un classement mondial Semrush de 4,095,074. ejls.fr a une valeur estimée à € 2,584,643, sur la base de ses revenus publicitaires estimés. ejls.fr reçoit environ 298,229 visiteurs uniques chaque jour. Son serveur Web est situé au United Kingdom, avec l'adresse IP 51.15.171.78.Selon SiteAdvisor, ejls.fr est sûr à visiter. |
Trafic & Estimations de la valeur
| Valeur d'achat/vente | Euro€2,584,643 |
| Revenus publicitaires quotidiens | Euro€2,386 |
| Revenus publicitaires mensuels | Euro€71,575 |
| Revenus publicitaires annuels | Euro€858,897 |
| Visiteurs uniques quotidiens | 19,882 |
| Remarque: Toutes les valeurs de trafic et de revenus sont des estimations. | |
DNS Records
| Host | Type | TTL | Data |
| ejls.fr. | A | 3600 | IP: 51.15.171.78 |
| ejls.fr. | AAAA | 3600 | IPV6: 2001:bc8:3153:200::1 |
| ejls.fr. | NS | 3600 | NS Record: nssec.online.net. |
| ejls.fr. | NS | 3600 | NS Record: ns.ejls.fr. |
| ejls.fr. | MX | 3600 | MX Record: 10 ejls.fr. |
| ejls.fr. | TXT | 3600 | TXT Record: v=spf1 ip6:2001:bc8:3153::/48 ip4:51.15.171.78 -all |
HtmlToTextCheckTime:2022-09-20 00:03:34
| Étienne Simon Navigation Home Projects Teaching Repositories Path navigation [ ~ ] About me I’m a PhD candidate in machine learning at LIP6 , Sorbonne University (Paris). I mostly work on natural language processing and information extraction using deep learning ( résumé ). I organize some reading groups with other members of the MLIA team, we completed Bishop’s Pattern Recognition and Machine Learning and we’ll start Wainwright’s High-Dimensional Statistics "soon" . Before starting my PhD I did an internship at Facebook AI Research in Paris for my end of master internship, working on Neural Machine Translation with Memory Networks . I released an open-source implementation of Deep Mind’s Hermann et al. paper Teaching Machines to Read and Comprehend with Alex Auvolat and Thomas Mesnard . During a 1 year stay in Montréal, I’ve won a Kaggle competition on taxi destination prediction as part of team ? with Alex Auvolat and Alexandre de Brébisson . Contact My email address: Étienne Simon |
HTTP Headers
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