Objectives:
- To introduce the fundamentals of Machine learning and Deep Learning with real time applications in various domain.
- Focuses on exploring various research opportunities and challenges in the field of deep learning and its applications such as Medical image analysis.
- Comprehensive knowledge of Dimensionality reduction and Autoencoders.
Outcomes:
- Implement machine learning and Deep learning algorithms to solve real-world problems.
- Be able to design and implement learning solutions to Linear regressions and Regularization problems.
- Learn deep learning methodologies to process medical image datasets.
Topics:
- The Future of Human Resources from 2020: Machine Learning
- Linear Regressions and Regularization
- Advanced Machine Learning for Data Scientists
- Introduction to Data Science with an Implementation of Recommendation System
- Deep Learning in everyday life
- Deep Learning for Medical Image Analysis
- Dimensionality Reduction and Autoencoders
Guidelines for Participation:
- Interested candidate must register for online FDP via google link or QR code given below before July 11, 2020
- Limited seats are available, registration will be done on First come, First serve basis.
- Attendance and submission of Feedback form is compulsory in all sessions for eligibility to secure certification.
Registration Link:
- https://forms.gle/RMATGPME6h4qBcja6
Contact:
- ecehod@ashoka.ac.in/ +91-8901224654
Speakers
Professor Ezendu Ariwa,
Academic Supervision,
Warwick University
Luton,United Kingdom
Dr. Raul V. Rodriguez,
Dean, School of Business
Mr. Sujayandra Vaddagiri,
Principal Operations
Research Analyst, Bangalore
Dr. Laxmi Shaw,
Professor, CBIT,
Hyderabad
Dr. Rituraj Dixit,
Professor, RBMI Group of
Institutions, Utter Pradesh
Ms. Alekhya Dronavalli
Machine Learning Engineer,
Cybermotion Technologies Pvt. Ltd,
Hyderabad
Dr. Sivaramakrishnan Rajaraman,
Research Scientist,
National Library of Medicine,
National Institutes of Health,
Bethesda, Maryland
Er. Akshay Malik,
Machine Learning Engineer,
Kwantics, Hyderabad
