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Computer Science Artificial Intelligence Course

What will I learn?

Unlock the potential of artificial intelligence with our Computer Science Artificial Intelligence Course (Irish Edition), designed for technology professionals keen to get stuck in. Delve into data preprocessing techniques, master machine learning algorithms like Support Vector Machines and Naive Bayes, and have a go at spam detection challenges. Learn how to evaluate models using accuracy, precision, and recall, and improve them with good strategies. Get proper hands-on experience in model training, testing, and ethical data collection, so you're well set to innovate in the AI game.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master evaluation metrics: Improve model accuracy and performance a treat.

Implement machine learning: Use algorithms for effective spam detection, fair play.

Optimize model training: Stop overfitting and underfitting in AI models, sure look.

Source ethical data: Find and use open-source datasets responsibly, that's the ticket.

Preprocess data efficiently: Clean, tokenize, and convert text data, no bother at all.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.