Two day workshop on Machine Learning using Python
Machine Learning is continually transforming the day to day lives of people and has become so pervasive today . It is an application of Artificial Intelligence. The continuous research and developments in the field of machine learning has given us self-driving cars, practical speech recognition, effective web search, weather prediction and many others. Python is the new Fortran in the scientific world and this language is great to use when working with machine learning algorithms and has easy syntax relatively.
This workshop begins with a primary introduction to basic machine learning methods. Applications of machine learning in weather and climate prediction will be explained by the experts from National Atmospheric Research Lab (NARL). Supervised and unsupervised learning methods will be discussed in detail with its applications. New trends like Deep Learning, evolutionary optimization and soft computing also will be explored. One day complete hands-on sessions are planned on introduction to Python programming, machine learning library scikit-learn and demonstration of machine learning algorithms based on Python. The workshop will conclude with a discussion on a number of open problems, which the participants will be encouraged to take up as their future research endeavor.
Date and Time
Location
Hosts
Registration
- Start time: 06 Oct 2018 04:00 AM UTC
- End time: 07 Oct 2018 12:00 PM UTC
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- JNTUA College of Engineering
- Kalikiri
- Kalikiri, Andhra Pradesh
- India 517234
- Building: Seminar Hall
- Contact Event Host
-
Dr.B. Eswara Reddy
Principal, JNTUA College of Engineering, Kalikiri
- Co-sponsored by IEEE Anantapuramu Subsection and JNTUA College of Engineering, Kalikiri
Speakers
Hitendra Sarma of SRINIVASA RAMANUJAN INSTITUTE OF TECHNOLOGY, ANANTAPUR
Machine Learning & Applications
Machine Learning is continually transforming the day to day lives of people and has become so pervasive today . It is an application of Artificial Intelligence. The continuous research and developments in the field of machine learning has given us self-driving cars, practical speech recognition, effective web search, weather prediction and many others. Python is the new Fortran in the scientific world and this language is great to use when working with machine learning algorithms and has easy syntax relatively.
This workshop begins with a primary introduction to basic machine learning methods. Applications of machine learning in weather and climate prediction will be explained by the experts from National Atmospheric Research Lab (NARL). Supervised and unsupervised learning methods will be discussed in detail with its applications. New trends like Deep Learning, evolutionary optimization and soft computing also will be explored. One day complete hands-on sessions are planned on introduction to Python programming, machine learning library scikit-learn and demonstration of machine learning algorithms based on Python. The workshop will conclude with a discussion on a number of open problems, which the participants will be encouraged to take up as their future research endeavor.
Biography:
Dr. T. Hitendra Sarma received Ph.D in the faculty of Computer Science and Engineering from Jawaharlal Nehru Technological University Anantapur, India, in 2013. He has more than 13 years of teaching and research experience; presently he is the Convener for Research and Development Cell at Srinivasa Ramanujan Institute of Technology, Anantapur, Andhra Pradesh, India. He has more than 22 Publications in various peer reviewed International Journals and Conference proceedings published by Springer, Elsevier and IEEE. He is guiding 3 Ph.Ds under JNTUA Anantapur. He presented his work in the International Joint Conference on Neural Networks (IJCNN) organized under the IEEE World Congress on Computational Intelligence (WCCI), Vancouver, Canada, in July 2016. He has been a reviewer for Pattern Recognition, Pattern Recognition Letters and Journal of Machine Learning and Cybernetics. He is one of the editors of the book titled “Emerging Trends in Electrical, Communications and Information Technologies”published in LNEE by Springer. He is the Secretary for IEEE CIS/GRSS Society chapter (2016-2019) IEEE Hyderabad Section, Region10. He is a member of IEEE, ACM, IE(I) and CSI. He also delivered an invited talk at the third international conference on Fuzzy Sets and Data Mining, Hualien, Taiwan in November, 2017. His areas of research include Pattern Recognition, Data Mining and Image Processing.
Email:
Address:FLAT NO: 402, VJC HEIGHTS, NEAR RAJA HOTEL, KALYANDURGAM ROAD, ANANTAPUR, , ANANTAPUR, 515 004
Tilottama of BVRIT Hyderabad
HANDS ON SESSION USING PYTHON
Machine Learning is continually transforming the day to day lives of people and has become so pervasive today . It is an application of Artificial Intelligence. The continuous research and developments in the field of machine learning has given us self-driving cars, practical speech recognition, effective web search, weather prediction and many others. Python is the new Fortran in the scientific world and this language is great to use when working with machine learning algorithms and has easy syntax relatively.
This workshop begins with a primary introduction to basic machine learning methods. Applications of machine learning in weather and climate prediction will be explained by the experts from National Atmospheric Research Lab (NARL). Supervised and unsupervised learning methods will be discussed in detail with its applications. New trends like Deep Learning, evolutionary optimization and soft computing also will be explored. One day complete hands-on sessions are planned on introduction to Python programming, machine learning library scikit-learn and demonstration of machine learning algorithms based on Python. The workshop will conclude with a discussion on a number of open problems, which the participants will be encouraged to take up as their future research endeavor.
Biography:
Tilottama Goswami completed her B.Tech (Computer Science & Engineering) from NIT Durgapur
in 1995, M.S. (Computer Science) from Rivier University, New Hampshire, USA in 2000. In 2016,
she was awarded Ph.D. in Computer Science from University of Hyderabad. Her areas of research
interests are Image Processing, Machine Learning and Computer Vision. She has been awarded
University Grants Commission-Basic Scientific Research (UGC-BSR) Fellowship (under Govt. of
India) during 2014-15. Tilottama Goswami has an overall 20 years of work experience in industry
and academia, both in India and abroad. At present she is working as a Professor, Department of
Computer Science and Engineering and Head of R&D Cell in BVRIT Hyderabad College of
Engineering for Women. Presently looking forward to continue her journey in the field of
academics, and conduct advanced scientific research with a mission to translate it for the benefit of
mankind.
Email:
Address:Professor, BVRIT , Hyderabad, Andhra Pradesh, India