Recommender System Course
What will I learn?
Unlock the potential of personalized recommendations with our Recommender System Course, designed for tech professionals looking to boost their skillset. Delve into data pre-processing, mastering techniques like handling missing values and data transformation. Implement sophisticated models using TensorFlow and Python, exploring algorithms such as collaborative filtering and matrix factorization. Fine-tune models with hyperparameter tuning and evaluation metrics, and improve user experience through personalization strategies. Enrol now to transform data into actionable insights.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master data pre-processing: Clean, transform, and efficiently manage data.
Implement models: Use Python, TensorFlow, and Scikit-learn for recommendations.
Optimise algorithms: Fine-tune hyperparameters and evaluate performance metrics.
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 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.