亚色影库

NEWS UPDATE

UG Freshmen & Sophomore year, Term-3 classes start from 3rd March, 2025.                                                                        AMATRIN - Sports Carnival 2025 at Aurora University: March 6鈥8!                                                                        UG Freshmen & Sophomore year, Term-3 classes start from 3rd March, 2025.                                                                   AMATRIN - Sports Carnival 2025 at Aurora University: March 6鈥8!                                                                  AMATRIN - Sports Carnival 2025 at Aurora University: March 6鈥8!                                                                                                   UG, PG, Ph.D Admissions 2025-26

Expert Talk on 鈥淒ata Science 鈥 Microsoft Azure鈥

On 6th February 2025, the Department of AIML & Data Science, School of Engineering organized an Expert Talk on 鈥淒ata Science 鈥 Microsoft Azure.鈥 The session, held in the university's Seminar Hall, featured Mr. Chaitanya GVSM, a Senior Technical Trainer and Azure Data Engineer. He provided an in-depth understanding of data science, machine learning, and cloud computing, emphasizing their integration with Microsoft Azure. Mr. Chaitanya introduced fundamental concepts of data science and machine learning, explaining supervised, unsupervised, and reinforcement learning techniques. He also highlighted AI鈥檚 transformative role in automation and predictive analytics. The discussion then transitioned to cloud computing, covering its types鈥攑ublic, private, hybrid, and community clouds鈥攁nd their significance in scalable data science applications.

The session focused on Microsoft Azure鈥檚 capabilities for data science, showcasing tools like Azure Machine Learning Studio, Azure Virtual Machines, Azure Storage, and pre-built AI models. Mr. Chaitanya demonstrated a live machine learning project, guiding attendees through data preprocessing, model training, and cloud deployment for real-time predictions. His hands-on approach emphasized Azure鈥檚 efficiency in handling complex machine learning tasks. The event was highly engaging, with active participation from students and faculty. It successfully highlighted Azure鈥檚 role in enabling scalable AI solutions, leaving attendees with valuable insights into modern data science applications.

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