Human Computer Interaction & Machine Learning

Human Computer Interaction & Machine Learning, available at $39.99, has an average rating of 3.7, with 22 lectures, based on 64 reviews, and has 11856 subscribers.

You will learn about All aspects from basic to advance linked with Human Compute Interaction This course is ideal for individuals who are All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology It is particularly useful for All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology.

Enroll now: Human Computer Interaction & Machine Learning

Summary

Title: Human Computer Interaction & Machine Learning

Price: $39.99

Average Rating: 3.7

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

All aspects from basic to advance linked with Human Compute Interaction

Who Should Attend

All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology

Target Audiences

All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology

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

Course Curriculum

Chapter 1: HCI Fundamentals

Lecture 1: Introduction to HCI

Lecture 2: Introduction to Prototyping

Lecture 3: Introduction to Evaluation Strategies

Lecture 4: Interviews and Participation Observation

Lecture 5: Evolution of the Graphical User Interface – GUI

Lecture 6: Longitudinal & Sporadic Fact Collection Techniques

Lecture 7: Storyboarding

Lecture 8: More on Prototyping

Lecture 9: Heuristic Evaluations

Lecture 10: Mental Models & Cognitions

Lecture 11: Typography

Lecture 12: HCI-Scent

Lecture 13: Layouts and basics of SWING

Lecture 14: AR Vs. VR

Chapter 2: Introduction to Machine Learning

Lecture 1: Setting up the Environment for Machine Learning:-Downloading & setting-up

Lecture 2: How to Work With Google Collabs ?

Lecture 3: Supervised Learning Techniques:-Regression techniques,

Lecture 4: Naïve Bayer’s

Lecture 5: Support vector Machines – Concept

Lecture 6: Support Vector Machines – Hands – On with Google Collabs

Lecture 7: ANN – KERAS Tutorial : Developing an Artificial Neural Network in Python [Step b

Lecture 8: Unsupervised Learning Techniques:- Clustering,

Instructors

Kaneeka Vidanage
Senior Lecturer and Researcher in AI and Semantic Web
Academy of Computing & Artificial Intelligence
Senior Lecturer / Project Supervisor / Consultant

Rating Distribution

1 stars: 2 votes
2 stars: 5 votes
3 stars: 13 votes
4 stars: 24 votes
5 stars: 20 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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