Human Computer Interaction & Machine Learning
Machine learning and speech assistants. Many people cite glossophobia—the fear of public speaking—as their greatest fear. Ehsan Hoque and his colleagues at the University’s Human-Computer Interaction Lab have developed computerized speech assistants to help combat this phobia and improve speaking skills
New
What you'll learn
- All aspects from basic to advance linked with Human Compute Interaction
- N/A
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
Post a Comment for " Human Computer Interaction & Machine Learning"