Machine Learning Trends and Challenges
Machine learning trends and challenges encompass a wide array of developments and obstacles in the field. Trends include advancements in deep learning, reinforcement learning, and federated learning, as well as the integration of machine learning with other technologies like edge computing and the Internet of Things (IoT). Challenges include the need for more interpretable and explainable models, addressing bias and fairness issues, managing large and complex datasets, ensuring model robustness and security, and overcoming limitations in hardware and computational resources. Additionally, ethical considerations, privacy concerns, and regulatory compliance pose significant challenges in the deployment and adoption of machine learning systems across various industries.
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Dr Shridhar Allagi - 8951824964
shridharallagi1@gmail.comDr Abdul Lateef Haroon P S - 9738973034
- Starts 01 March 2024 03:30 PM UTC
- Ends 07 March 2024 09:30 AM UTC
- No Admission Charge
Speakers
Dr Miguel Garcia-Torres of Miguel García-Torres Also published under: Miguel Garcia-Torres Affiliation Data Science and Big Data Lab Universidad Pablo de Olavide Seville, Spain
Machine Learning Trends and Challenges
Biography:
Miguel García-Torres received the B.S. degree in physics and the Ph.D. degree in computer science from the Universidad de La Laguna, Tenerife, Spain, in 2001 and 2007, respectively. After obtaining the doctorate, he held a postdoctoral position at the Laboratory for Space Astrophysics and Theoretical Physics, National Institute of Aerospace Technology (INTA). There, he joined the Gaia mission from the European Space Agency (ESA) and started to participate in the Gaia Data Processing and Analysis Consortium (DPAC) as a member of astrophysical parameters at the Coordination Unit (CU8). Since then, he has been involved at the Object Clustering Analysis (OCA) Development Unit. He is currently an Associate Professor with the Escuela Politécnica Superior, Universidad Pablo de Olavide. He collaborated with the Computer Engineer Department of the Universidad Americana in the Grant PINV18-1199. His research interests include machine learning, metaheuristics, big data, time series forecasting, bioinformatics, and astrostatistics.
Agenda
Welcome Address by the Chair - Dr Shridhar Allagi
Introduction to Speaker - Dr Abdul Lateef Haroon P S
Vote of Thanks by - Dr Abdul Lateef Haroon P S
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