Artificial Intelligence For Engineering (KMC101/KMC201)
Course Objective
The students will be able to:
- Understand the evolution and various approaches of AI
- Understand data storage, processing, visualization, and its use in regression, clustering, etc.
- Understand natural language processing and chatbots
- Understand the concepts of neural networks
- Understand the concepts of face, object, speech recognition, and robots
Lessons
Unit 1 - An overview to AI
The evolution of AI to the present
..
What should all engineers know about AI?
Other emerging technologies
..
prutor.ai
Unit 2 - Data & Algorithms
..
Data Storage And Importance of Data and its Acquisition
The Stages of data processing
..
Regression, Prediction & Classification
Clustering & Recommender Systems
prutor.ai
Unit 3 - Natural Language Processing
..
Natural language understanding
Natural language generation
..
..
prutor.ai
Unit 4 - Artificial Neural Networks
..
Recurrent Neural Networks
Convolutional Neural Networks
The Universal Approximation Theorem
Generative Adversarial Networks
prutor.ai
Image and face recognition
..
Speech Recognition besides Computer Vision
..
..
prutor.ai
