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Computer Science Artificial Intelligence Course
Unlock the power of artificial intelligence with our Computer Science Artificial Intelligence Course, specifically designed for tech professionals ready to level up their game. Get stuck in with data prep techniques, master machine learning algorithms like Support Vector Machines and Naive Bayes, and tackle those spam detection challenges head-on. Learn how to evaluate models using accuracy, precision, and recall, and beef them up with effective strategies. Get proper hands-on experience in model training, testing, and collecting data ethically, making sure you're well-equipped to innovate in the AI space.
- Master evaluation metrics: Boost model accuracy and performance proper.
- Implement machine learning: Use algorithms for spot-on spam detection.
- Optimize model training: Stop overfitting and underfitting in AI models, sharp-sharp.
- Source ethical data: Find and use open-source datasets responsibly, no funny business.
- Preprocess data efficiently: Clean, tokenize, and convert text data, nice and quick.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of artificial intelligence with our Computer Science Artificial Intelligence Course, specifically designed for tech professionals ready to level up their game. Get stuck in with data prep techniques, master machine learning algorithms like Support Vector Machines and Naive Bayes, and tackle those spam detection challenges head-on. Learn how to evaluate models using accuracy, precision, and recall, and beef them up with effective strategies. Get proper hands-on experience in model training, testing, and collecting data ethically, making sure you're well-equipped to innovate in the AI space.
Elevify advantages
Develop skills
- Master evaluation metrics: Boost model accuracy and performance proper.
- Implement machine learning: Use algorithms for spot-on spam detection.
- Optimize model training: Stop overfitting and underfitting in AI models, sharp-sharp.
- Source ethical data: Find and use open-source datasets responsibly, no funny business.
- Preprocess data efficiently: Clean, tokenize, and convert text data, nice and quick.
Suggested summary
Before starting, you can change the chapters and 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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