Recommender System Course
What will I learn?
Unlock the potential of personalised recommendations with our Recommender System Course, crafted for tech professionals keen on enhancing their expertise. Delve into data pre-processing, mastering techniques like handling missing values and data transformation. Implement 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 elevate user experience through personalisation strategies. Enrol now to transform data into actionable insights.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned below
Master data pre-processing: Clean, transform, and manage data efficiently.
Implement models: Use Python, TensorFlow, and Scikit-learn for recommendations.
Optimise algorithms: Tune hyperparameters and evaluate performance metrics.
Personalise experiences: Enhance 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 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.