TOPICS, TOOLS AND TECHNOLOGIES FOR FRESHERS TO LEARN DATA SCIENCE, KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

Department of CSE (AIML) invited Dr Rathinaraja Jeyaraj, a post-doctoral researcher at Kyungpook National University in South Korea. He has delivered an expert talk to the first-year CSE (AIML) students on the topic of 'Topics, Tools and Technologies for Freshers to Learn Data Science'

An Introduction to Data Science, ML, and AI with real-time case studies. During his talk, Dr Jeyaraj provided an overview of the field of data science and explained its applications in various industries. He also offered insights into machine learning and artificial intelligence, discussing their underlying concepts and real-world applications.

Additionally, Dr. Jeyaraj showcased a real-time experience of how data science, ML, and AI work in practice. This demonstration gave the students an opportunity to see how data science techniques are used to analyze and interpret data, and how machine learning algorithms can be used to make predictions and improve decision-making.
Overall, Dr. Jeyaraj's expert talk provided a comprehensive introduction to the field of data science, ML, and AI, and gave the students valuable insights into the practical applications of these technologies.

The Talk includes
1. The talk would have provided the students with a comprehensive understanding of the concepts, applications, and benefits of data science, ML, and AI.
2. The real-time demonstration would have also helped the students see how these technologies are used in real-world scenarios.
3. Furthermore, the talk would have allowed the students to appreciate the potential of these technologies in solving complex problems and making better decisions in various industries.
4. The students would have also gained insights into the skills and knowledge required to pursue a career in the field of data science, ML, and AI.

Overall, the talk is likely to have sparked the interest of the students in the field of data science, ML, and AI and inspired them to explore further.