Recommender System Course
What will I learn?
Unlock the power of personalized recommendations with our Recommender System Course, designed for technology professionals eager to enhance their skills. Dive into data preprocessing, 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 factorization. Optimize models with hyperparameter tuning and evaluation metrics, and elevate user experience through personalization strategies. Join now to transform data into actionable insights.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data preprocessing: Clean, transform, and manage data efficiently.
Implement models: Use Python, TensorFlow, and Scikit-learn for recommendations.
Optimize algorithms: Tune hyperparameters and evaluate performance metrics.
Personalize experiences: Enhance user engagement through tailored recommendations.
Analyze data: Identify patterns and visualize 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 offers practical and relevant knowledge for your professional journey.