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Computer Science Artificial Intelligence Course
Unlock the power of Artificial Intelligence with our Computer Science Artificial Intelligence Course, tailor-made for tech professionals in Gambia wey eager to level up. You go dive deep inside data preparation, learn machine learning algorithms like Support Vector Machines and Naive Bayes, and solve spam detection problems. You go learn how to check model performance using accuracy, precision, and recall, and make dem better with smart strategies. You go get real-world experience for training, testing models, and collecting data in a proper way, so you go ready to bring new ideas for AI for Gambia.
- Master evaluation metrics: Make model accuracy and performance correct well-well.
- Implement machine learning: Use algorithms for detect spam properly.
- Optimize model training: Avoid overfitting and underfitting for AI models.
- Source ethical data: Identify and use open-source datasets with responsibility.
- Preprocess data efficiently: Clean, tokenize, and convert text data sharp-sharp.

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, tailor-made for tech professionals in Gambia wey eager to level up. You go dive deep inside data preparation, learn machine learning algorithms like Support Vector Machines and Naive Bayes, and solve spam detection problems. You go learn how to check model performance using accuracy, precision, and recall, and make dem better with smart strategies. You go get real-world experience for training, testing models, and collecting data in a proper way, so you go ready to bring new ideas for AI for Gambia.
Elevify advantages
Develop skills
- Master evaluation metrics: Make model accuracy and performance correct well-well.
- Implement machine learning: Use algorithms for detect spam properly.
- Optimize model training: Avoid overfitting and underfitting for AI models.
- Source ethical data: Identify and use open-source datasets with responsibility.
- Preprocess data efficiently: Clean, tokenize, and convert text data sharp-sharp.
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