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
