Certified Specialist Programme in Deep Learning for Recommender Systems
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- Introduction to Recommender Systems: Architectures, Algorithms, and Evaluation Metrics
- Deep Learning for Recommender Systems: Neural Networks and Embedding Techniques
- Collaborative Filtering with Deep Learning: Autoencoders and Matrix Factorization
- Content-Based Filtering and Hybrid Approaches using Deep Learning
- Advanced Deep Learning Models for Recommender Systems: Recurrent Neural Networks (RNNs) and Transformers
- Deep Learning for Context-Aware Recommender Systems: Incorporating User and Item Context
- Handling Sparsity and Cold-Start Problems in Recommender Systems
- Evaluating and Tuning Deep Learning Recommender Systems: Metrics and Optimization Techniques
- Deployment and Scalability of Deep Learning Recommender Systems
- Case Studies and Applications of Deep Learning in Recommender Systems
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Career Role Description Deep Learning Engineer (Recommender Systems) Develops and implements cutting-edge deep learning models for personalized recommendation engines.
Focuses on improving user engagement and conversion rates.
Requires expertise in TensorFlow/PyTorch and strong algorithm design skills.
Machine Learning Scientist (Recommender Systems) Conducts research and development of novel deep learning architectures for recommender systems.
Analyzes large datasets to identify trends and improve model performance.
Collaborates with engineers to deploy models to production.
Data Scientist (Recommendation Algorithms) Applies statistical modelling and machine learning techniques to design and optimize recommender systems.
Performs A/B testing and evaluates model performance using relevant metrics.
Works with stakeholders to define business requirements.
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