Computer Science Artificial Intelligence Course
What will I learn?
Unleash the power of artificial intelligence with our Computer Science Artificial Intelligence Course, geared towards tech professionals keen to do well. Delve into data preprocessing methods, become proficient in machine learning algorithms like Support Vector Machines and Naive Bayes, and tackle spam detection problems. Learn to assess models using accuracy, precision, and recall, and improve them with effective methods. Get practical experience in model training, testing, and ethical data collection, ensuring you're well-prepared to innovate in the AI scene.
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Master evaluation metrics: Improve model accuracy and performance lor.
Implement machine learning: Apply algorithms for effective spam detection sia.
Optimise model training: Prevent overfitting and underfitting in AI models can.
Source ethical data: Find and use open-source datasets responsibly what.
Preprocess data efficiently: Clean, tokenize, and convert text data like that.
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 it offers practical and relevant knowledge for your professional journey.