First Workshop on “Data Analytics in Biomedicine” (held in conjunction with IEEE DDP2024)Fourth International Conference on Digital Data Processing Yeshiva University.New York, US30 September – 01 October 2024https://socio.org.uk/ddp/workshop/ CALL FOR PAPERS The exponential growth of data generated from various textual sources presents both a challenge and a huge opportunity. A key challenge lies in effectively managing […]
Archive for July, 2024
Second edition of the Seeing and Acting Workshop (SAW). University of Coimbra, Portugal, 26-28 September 2024
Just a reminder that the second edition of the Seeing and Acting Workshop (SAW) is approaching fast, and registration and poster submission are still open! >>PLEASE DON'T FORGET TO REGISTER AND SEND YOUR ABSTRACT!!<< SAW will take place at the Faculty of Psychology and Educational Sciences of the University of Coimbra, September 26-28, 2024 in Coimbra, Portugal. For the second edition of SAW, we […]
Online Vocational Training and Internship: Python programing and Hypothesis Testing
“We are launching an internship. Registration: https://internships.utkarshminds.com/ In summary this two months internship has: Students will experience advanced data analysis and work on 25 projects After completion they can get a internship completion certificate They can add in their resume and increase chances of getting a job Only a one time fee of Rs. 99 (USD 2/EURO […]
Real-Time Intelligent Systems 2024- Springer LNNS
Sixth International Conference on Real-Time Intelligent Systems (RTIS 2024) Tien Giang UniversityMy Tho (near Ho-chi-Minh)VietnamOctober 17-19, 2024www.socio.org.uk/rtisSpringer Lecture Notes in Networks and Systems (LNNS) The International Conference on Real-time Intelligent Systems (RTIS) has traveled from Beijing, China (2016), to Ho-Chi-Min, Vietnam. The sixth edition will take place at Tien Giang University. Over the last few […]
Machine Learning for Estimating Causal Effects – Livestream Seminar
Statistical Horizons will host Machine Learning for Estimating Causal Effects, a 4-day seminar taught by Ashley Naimi, on August 6-9. This hands-on seminar will show you how to minimize biases that result from improper use of machine learning methods to answer practical questions about cause-effect relations in non-experimental data. We will use R for all empirical examples […]