vima.co.za valuation and analysis

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Title Vukosi Marivate’s Website – Tomorrow has never been
Description Home ↓ Skip to Main Content Main Navigation Menu Home Blog (Beyond Today) About Me Research Projects Contact Home Welcome to Vukosi Marivate’s personal website
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Server Information
WebSite vima faviconvima.co.za
Host IP 197.242.144.218
Location South Africa
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vima.co.za Valuation
US$718,717
Last updated: 2022-10-08 17:54:02

vima.co.za has Semrush global rank of 14,726,667. vima.co.za has an estimated worth of US$ 718,717, based on its estimated Ads revenue. vima.co.za receives approximately 82,929 unique visitors each day. Its web server is located in South Africa, with IP address 197.242.144.218. According to SiteAdvisor, vima.co.za is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$718,717
Daily Ads Revenue US$664
Monthly Ads Revenue US$19,903
Yearly Ads Revenue US$238,836
Daily Unique Visitors 5,529
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
vima.co.za. A 14396 IP: 197.242.144.218
vima.co.za. NS 86400 NS Record: ns.otherdns.com.
vima.co.za. NS 86400 NS Record: ns.dns2.co.za.
vima.co.za. NS 86400 NS Record: ns.dns1.co.za.
vima.co.za. NS 86400 NS Record: ns.otherdns.net.
vima.co.za. MX 14401 MX Record: 10 mx1867997.spe.ucebox.co.za.
vima.co.za. TXT 14401 TXT Record: google-site-verification=pRuQIZwEymkU8zF4M6gL3bHXpzTlpKcnJBvF6_bDD2U
vima.co.za. TXT 14401 TXT Record: v=spf1 include:spf.aserv.co.za ~all
HtmlToTextCheckTime:2022-10-08 17:54:02
↓ Skip to Main Content Main Navigation Menu Home Blog (Beyond Today) About Me Research Projects Contact Home Welcome to Vukosi Marivate’s personal website. If you need anything just ring or email. It’s mostly your choice! Please use the top navigation bar to get around the site. Who am I? I hold a PhD in Computer Science (Rutgers University) and MSc; BSc in Electrical Engineering (Wits University). I am currently based at the University of Pretoria as the ABSA Chair of Data Science. I work on developing Machine Learning/Artificial Intelligence methods to extract insights from data. A large part of my work over the last few years has been in the intersection of Machine Learning and Natural Language Processing (due to the abundance of text data and need to extract insights). As part of my vision for the ABSA Data Science chair, I am interested in Data Science for Social Impact, using local challenges as a springboard for research. In this area, I have worked on projects in science,
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