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Learn all basics of HCI with real word examples & Machine Learning
What you’ll learn
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All aspects from basic to advance linked with Human Compute Interaction
Welcome to Human-Computer Interaction Course – (HCI). This course will elaborate almost all the basics of Human-Computer Interaction principals with real-world examples. Following are the list of Learning Objectives (LO) covered in this module.
To understand what is Human-Computer Interaction – HCI
To understand requirement collection techniques in HCI
To understand how to design HCI experiments
To understand how HCI evaluations are taking place.
To understand the evolution of the Graphical User Interfaces – GUIs
To understand the difference between Virtual Reality and Augmented Reality
Machine Learning
Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs
Supervised Learning Techniques:-Regression techniques, Naïve Bayer’s, Artificial Neural Networks
Unsupervised Learning Techniques:- Clustering, K-Means clustering
- All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology
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