Overview
Machine Learning and Deep Learning are so persistent in today’s world that one may probably be using it more than 10 times a day without knowing it. Facebook tag suggestions is one of the very common example linked to it. One can think of Artificial Intelligence (AI), Machine Learning and Deep Learning as a set of items nested within each other. Deep Learning is a subset of Machine Learning and Machine Learning is a subset of AI which is simply the science and engineering of making intelligent machines. Machine Learning uses algorithms to analyse data, learn from the data, and then make informed decision accordingly. '
Course Outline
- Fundamentals of Machine Learning
- Types of Machine leaning Algorithms
- Planning of Machine Learning
- Mathematical and Statistical Concepts- A Quick Recap Regression
- Tree Modelling
- Classification
- Reinforcement Learning
- Machine Learning with R
- Deep Learning Going Deep Using TensorFlow
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Distributed TensorFlow
- Deep Learning Applications
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