Fourteenth Alumni Talk on Machine Learning with Python

P.G. Department of Computer Science

(Erstwhile the Postgraduate Department of I&CT)

organizes

The Fourteenth Alumni Talk

Machine Learning with Python

Date : 04.11.2023

Time: 3-5pm

(in Hybrid mode)

speaker :

Dr. Tapas Kumar Mishra (MCA 2007-10)

We are thrilled to announce an upcoming seminar (to be organized in hybrid mode) that promises to be both informative and inspiring. Mark your calendars for a thought-provoking talk on an intriguing topic by a renowned speaker.

Abstract:

Forecasting the future was a part of human being from the ancient era where it was approaching the correct prediction many times. However, the correct prediction was erroneous up to a long extent. The emerge of statistical techniques enhanced the prediction by minimizing the overall error. But it had some limitations that either lack of previous experience or manual computational time in case of bunch of information. The inception of high-level languages added extra wings to the computational power of system in different scenarios. There are many high-level languages are being used in this generation such as python, MATLAB, Julia, R, and many other languages. The user-friendly nature of python packages available made python more popular specially for computation of statistical models. In this lecture, we will demonstrate some use of python functions and its use in machine learning. For better understanding, we will learn prediction using regression models.

Speaker's Biodata:

Dr. Tapas Kumar Mishra is working as an Assistant Professor at SRM University-AP, Amaravati, Andhra Pradesh. He has completed his Ph.D. in Computer Science and Engineering from Indian Institute of Technology (ISM) Dhanbad in the year 2017. He has received M.Tech in Computer Science from Utkal University in 2013. He is an alumnus of Fakir Mohan University, Vyas Vihar, Balasore, Odisha (MCA 2007-10). He has qualified National Eligibility Test (NET) conducted by UGC in 2012. His research interest includes Ad hoc and Sensor Networks, Artificial Intelligence and Machine Learning. He has more than 20 publications with international repute in his name which includes 9 journals, 11 conferences, 2 book chapters and 2 patents.

We request all faculties, students and members of Alumni to participate and make the most of this unique learning opportunity. Don't forget to save the date and stay tuned for updates!

We look forward to your active participation and making this seminar a success.

Stay curious and stay tuned!

Best regards,

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