Yusuf Efe - Member of Technical Staff - LinkedIn
Building Parallel · Experience: Parallel Web Systems Inc. · Education: Columbia University in the City of New York · Location: Palo Alto · 500+ connections on LinkedIn. View Yusuf Efe’s profile...
- 职位: Building Parallel
- 位置: Parallel Web Systems Inc.
- 500+ 连接数
efeyusuf (Yusuf Efe) - GitHub
CS Ph.D. Researcher at Columbia University | BSc in EE & Physics at Bogazici University - efeyusuf
Yusuf Efe Alan - Circular Economy Leader - ESTIEM - LinkedIn
View Yusuf Efe Alan’s profile on LinkedIn, a professional community of 1 billion members. ISE student at Binghamton University, ITU | Circular Economy Leader of ESTIEM | Board Member of TSA ...
- 职位: ISE student at Binghamton …
- 位置: ESTIEM
- 500+ 连接数
Yusuf Efe - Google Akademik - Google Scholar
The formation of gradient nanostructured medium carbon steel via mild, moderate, and severe ultrasonic nanocrystal surface modification options: Assessment on wear and friction …
Efe Yusuf Profiles - Facebook
View the profiles of people named Efe Yusuf. Join Facebook to connect with Efe Yusuf and others you may know. Facebook gives people the power to share...
Yusuf Efe - Author Biography - Entrepreneur
Yusuf Efe is a Machine Learning researcher at Columbia University and Chief Scientist at Synoptic, where he is pivotal in developing a trust-centric platform for market insights.
Yusuf Efe (@yussufefe) • Instagram photos and videos
124K Followers, 358 Following, 0 Posts - Yusuf Efe (@yussufefe) on Instagram: "Personal Account, Domain Broker"
Yusuf Efe Göçer (@yusufefegocer) • Instagram photos and videos
458K Followers, 573 Following, 408 Posts - Yusuf Efe Göçer (@yusufefegocer) on Instagram: "Biz bir aileyiz. • I’m an Author. İKÜ - Psikoloji Şifa Mektupları çıktı!"
Efe Yusuf - Facebook
Efe Yusuf is on Facebook. Join Facebook to connect with Efe Yusuf and others you may know. Facebook gives people the power to share and makes the world more open and connected.
19 PhD Students Win Prestigious Fellowships
Yusuf Efe is a PhD student set to work with Associate Professor Elias Bareinboim. His work will focus on designing robust causal reinforcement learning algorithms. He is particularly interested in defining dynamic and context-dependent value functions in reinforcement learning settings to render possible human-like learning processes for ...