Recommender System Course
What will I learn?
Unlock the power of personalised recommendations with our Recommender System Course, designed for technology professionals keen to improve their skills. Learn how to preprocess data, mastering techniques like handling missing values and data transformation. Build advanced models using TensorFlow and Python, and explore algorithms such as collaborative filtering and matrix factorisation. Optimise models with hyperparameter tuning and evaluation metrics, and improve user experience through personalisation strategies. Sign up now to turn data into actionable insights, lah!
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Master data preprocessing: Clean, transform, and manage data efficiently, hor.
Build models: Use Python, TensorFlow, and Scikit-learn for recommendations.
Optimise algorithms: Tune hyperparameters and evaluate performance metrics, can or not?
Personalise experiences: Improve user engagement through tailored recommendations.
Analyse data: Identify patterns and visualise trends for insightful decisions.
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.