saitcakmak.com valuation and analysis

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Title Sait
Description Search this site Skip to navigation Sait Cakmak Home Research Code CV Contact Python Woodworking Sait Cakmak Home Research Code CV Contact Python Woodwork
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WebSite saitcakmak faviconsaitcakmak.com
Host IP 52.219.105.140
Location United States
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saitcakmak.com Valuation
US$1,365
Last updated: 2023-05-20 07:23:58

saitcakmak.com has Semrush global rank of 0. saitcakmak.com has an estimated worth of US$ 1,365, based on its estimated Ads revenue. saitcakmak.com receives approximately 157 unique visitors each day. Its web server is located in United States, with IP address 52.219.105.140. According to SiteAdvisor, saitcakmak.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$1,365
Daily Ads Revenue US$1
Monthly Ads Revenue US$37
Yearly Ads Revenue US$453
Daily Unique Visitors 10
Note: All traffic and earnings values are estimates.
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saitcakmak.com. A 4 IP: 52.219.105.140
saitcakmak.com. NS 86400 NS Record: ns-18.awsdns-02.com.
saitcakmak.com. NS 86400 NS Record: ns-683.awsdns-21.net.
saitcakmak.com. NS 86400 NS Record: ns-1445.awsdns-52.org.
saitcakmak.com. NS 86400 NS Record: ns-1591.awsdns-06.co.uk.
HtmlToTextCheckTime:2023-05-20 07:23:58
Search this site Skip to navigation Sait Cakmak Home Research Code CV Contact Python Woodworking Sait Cakmak Home Research Code CV Contact Python Woodworking More Home Research Code CV Contact Python Woodworking Sait Cakmak I am a Research Scientist with the Adaptive Experimentation group at Meta. Prior to Meta, I was a Ph.D. student in Operations Research at Georgia Tech, advised by Dr. Enlu Zhou , and received my bachelor’s degrees in Industrial Engineering and Economics from Koç University, Turkey. My P hD research focuse d on optimization of black-box or simulation-based objectives, using zeroth or first order information. In particular, I studied risk averse optimization of such objectives, where risk aversion is achieved by optimizing a risk measure of the objective, calculated over the unknown environmental variables. I have used tools from stochastic derivative estimation, stochastic approximation, Bayesian optimization and Gaussian processes, among others. In my free time, I
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