AI in Healthcare Course
What will I learn?
Unlock the potential of AI in healthcare with our comprehensive course, designed specifically for engineering professionals like yourself. Delve into data exploration, mastering techniques such as outlier detection and data distribution analysis. Sharpen your skills with data pre-processing strategies, including normalisation and encoding. Fine-tune models using ensemble methods and hyperparameter tuning. Learn to develop predictive models, select the most relevant features, and evaluate their performance. Enhance your expertise with practical, high-quality, and to-the-point learning.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Master data exploration: Detect outliers and understand data distributions thoroughly.
Optimise models: Effectively use ensemble methods and hyperparameter tuning.
Enhance pre-processing: Normalise data and efficiently encode categorical variables.
Develop predictive models: Choose appropriate algorithms and apply cross-validation techniques.
Evaluate model performance: Analyse accuracy, precision, recall, and F1-score.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.