Human Computer Interaction & Machine Learning

🎓 Course Title: Mastering Human-Computer Interaction & Machine Learning

🎯 Course Headline: Dive into the World of User Experience with HCI and Transform Data into Insights with Machine Learning!

Course Description:

Embark on a comprehensive journey into the realm of Human-Computer Interaction (HCI) and unlock the mysteries of Machine Learning with our expertly crafted online course led by the esteemed Kaneeka Vidanage. This course is meticulously designed to provide you with a solid foundation in HCI principles, enriched with practical, real-world examples that bring theory to life. As we delve into the captivating field of Machine Learning, you'll gain hands-on experience setting up your development environment and mastering both supervised and unsupervised learning techniques.

What You'll Learn:

Human-Computer Interaction (HCI):

• Understanding HCI: Discover what Human-Computer Interaction is all about and why it matters in design and technology.
  • The significance of HCI in modern software development.
• Requirement Collection Techniques in HCI: Learn the methods to effectively gather user requirements to ensure a successful product outcome.
  • User interviews, surveys, and observation techniques.
• Designing HCI Experiments: Gain insights into designing experiments that test and improve user interaction with technology.
  • Iterative design, prototyping, and A/B testing.
• HCI Evaluations: Understand the various evaluation methods in HCI to assess user experience and usability.
  • Heuristic evaluation, expert review, and user testing.
• Evolution of Graphical User Interfaces (GUIs): Trace the evolution of GUIs and their impact on modern interaction design.
  • From command-line interfaces to modern touchscreens.
• Virtual Reality vs. Augmented Reality: Explore the differences and similarities between VR and AR, and their applications in various industries.
  • Immersive experiences and practical uses cases.

Machine Learning:

• Setting Up the Environment for Machine Learning: Begin your Machine Learning journey by setting up your development environment with Anaconda and mastering Google Colab.
  • A step-by-step guide to a fully functional ML workspace.
• Supervised Learning Techniques: Dive into the world of predictive modeling using regression techniques, Naïve Bayer’s, and Artificial Neural Networks.
  • Linear regression, logistic regression, and neural network frameworks.
• Unsupervised Learning Techniques: Explore the secrets of clustering with K-Means clustering and other unsupervised learning methods.
  • Data segmentation, pattern recognition, and anomaly detection.

Your Learning Outcome:

By completing this course, you will not only have a clear understanding of HCI fundamentals but also be equipped to approach Machine Learning with confidence. You'll be able to design user-centered products, predict outcomes with accuracy, and extract meaningful patterns from vast datasets. Join us on this exciting learning adventure and transform your career trajectory with the power of Human-Computer Interaction and Machine Learning!

Enroll now and step into a future where technology is shaped by human needs and data-driven insights! 🚀💻📊