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Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
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English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Courses and Certificate Fees
The Syllabus
- Introduction to Probability
- Distributions
- Testing of Hypothesis – I
- Testing of Hypothesis – II
- Samples
- Correlation & Regression
- Queuing Theory
- Stochastic processes
- Supervised & Unsupervised Learning
- Concept Learning
- Decision Tree Learning
- Bayesian Learning
- Clustering
- Reinforcement Learning
- Neural networks
- Feed-forward networks
- Convolution neural networks
- Recurrent neural networks
- Deep generative models
- Deep belief networks
- Deep Reinforcement Learning
- TensorFlow overview
- Agents & Environments
- Problem solving Agents
- Alpha Beta pruning
- Predicate Logic
- Rule based deduction systems
- Expert systems
Articles