Digital Transformation with Machine Learning

Learn from industry experts about Digital Transformation with Machine Learning

This session will cover the following topics:

• Why Python is more useful in Machine Learning field?
• What makes Python so popular?
• Major differences between Python and R and why Python is preferred over R
• Industry trends in Machine Learning
• How ML can add values in different sectors of business?
• How data science and machine learning fit with the organization’s existing analytics?
• How organization operationalize models driven by data science and machine learning?
• Types of Machine Learning  (Supervised Learning/ Unsupervised Learning/ Reinforcement Learning)
• Use cases of Machine learning (BFSI, Automotive Industry, Health Care, Manufacturing, Telecom, Retail)
• What neural networks and how they are trained and deployed in practice?
• Some popular deep learning frameworks like TensorFlow, Caffe, PyTorch, Keras
• How GPUs are used in training deep learning models