Archive for July, 2024

Workshop on Data Analytics in Biomedicine

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 […]

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 […]

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