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Computer Science Artificial Intelligence Course
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.
- 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.

from 4 to 360h flexible workload
certificate recognized by the MEC
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.
Elevify advantages
Develop skills
- 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
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.What our students say
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