We had a huge success with the completion of 7th World Machine Learning and Deep Learning Congress Webinar on June 18-19, 2020. The significance of the meeting was achieved due to the accumulation of all the related group of spectators of research scientists to share their Knowledge, Research work, Technologies, and furthermore trade of worldwide Information towards the correct crowd at ideal time. Congress has received a generous response from all over the world. This has been organized with the aim of endorsing the development of new perceptions and ideas for investigating the high level of knowledge reached by scientific community in the field of Pharmaceutical Sciences.
The conference was organized around the theme “New way of Communicating your wishes to a Computer”. The congress entrenched a firm relation of future strategies in the field of Healthcare medicine.
We would like to thank accepted abstracts:
We would like to thank each and every participant of Machine Learning 2020 webinar to make this a huge success. And special thanks to media partners for the promotion of our event.
The Conference Series Pharmaceutical Conferences aim to bring together the prominent researchers academic scientists, and research scholars to exchange and share their experiences on all aspects of Pharmaceutics. It is conjointly a knowledge domain platform for researchers, practitioners and educators to gift and discuss the foremost recent advances, trends, and issues in addition as sensible challenges and solutions adopted in the fields of Biopharmaceutics.
We are also glad to announce our upcoming conference “7th World Machine Learning and Deep Learning Congress and 8th Global Summit on
Artificial Intelligence and Neural Networks” scheduled on June 14 - 15, 2021, Dubai, UAE
The topics to be discussed are Machine Learning, Deep Learning, Artificial Intelligence, Artificial Neural networks, Healthcare & Medical Sciences, Robotic Process Automation (RPA):, Affective Computing, Virtual Reality (VR) and Gaming, Computer Vision, Big Data Analytics