Application of Deep Learning and Neural Networks is a course that teaches the basic and advanced concepts of deep learning and neural networks supported by industry relevant business case studies. The course is designed as per the latest industry trends and uses Python as the programming environment. Datasets required for the case studies can be obtained from the internet.
The course leverages the following to assist learners in building their practical and applied skills:
Course includes access to virtual hands-on environment.+ Read More - Read Less
Dr. P.H. Anantha Desik
Product Specialist, Algorithms & Analytics
Tata Consultancy Services
Dr. Anantha Desik has more than 25 years of experience in the IT Industry and related areas. He currently works with TCS' Tools & Technology Group (CEG) and is involved in the development of data analytics tools. Prior to this he has worked as Head of Data Analytics COE for Insurance and Healthcare. Dr. Desik has published many papers and conducted lectures on Machine Learning, Data and Business Analytics. His specialisation areas include Machine Learning, Predictive Analytics, Optimization, Strategic Management and Artificial Intelligence.
Dr. Sitarama Brahmam Gunturi has an experience of almost 25 years in IT and related industries. Currently, Ramabrahmam is the Lead of Emerging Technology CoE and his group focusses on Artificial Intelligence, Machine Learning and Analytics, Big Data technologies and containerization. Ramabrahmam has been providing solutions to several products and projects of TCS in these areas. He has published several papers in reputed international journals and presented at international conferences. His areas of interest include Machine Learning, Artificial Intelligence, Swarm Intelligence and Optimization.
Shailendra Langade has more than 28 years of experience in software implementation and consulting. His expertise areas include Enterprise Architecture, Multitier Web Architecture, Service-orientation, Data Management, Machine Learning and Deep Learning.
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