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Recommender System Course

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What will I learn?

Discover how to create personalised recommendations with our Recommender System Course, created for Eritrean technology professionals wanting to improve their skills. Learn about data preparation, including how to deal with missing information and change data formats. Use advanced models with TensorFlow and Python, exploring methods like collaborative filtering and matrix factorization. Fine-tune models with hyperparameter adjustments and performance measurements, and improve user experience with customisation strategies. Join us and learn how to turn data into useful information.

Apoia's Unique Features

Unlimited access to courses for life
Certification aligned with educational standards
Printable PDF summaries
Always-available online support
Select and arrange the chapters you want to study
Customize your course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Enhance your practical skills outlined below

Master data preparation: Clean, change, and organise data well.

Implement models: Use Python, TensorFlow, and Scikit-learn for suggestions.

Optimize algorithms: Adjust hyperparameters and measure performance.

Personalise experiences: Make user engagement better by using customised suggestions.

Analyze data: Find trends and show them visually to make smart decisions.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change 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 offers practical and relevant knowledge for your professional journey.