Recommendation Systems Engineer
April 29, 2024
3 minute read
Recommendation Systems Engineers are data science professionals who develop solutions for driving relevant content and products to users. While you may already be familiar with the concept of a recommendation system from your experiences browsing sites like Amazon or YouTube, these solutions exist in more industries than you might imagine, including healthcare, music, and news. Recommendation Systems Engineers leverage deep data analytics to solve for business goals, and may also work as Data Scientists or Machine Learning Engineers depending on the size and structure of the organization.
What Do Recommendation Systems Engineers Do?
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Find a path to becoming a Recommendation Systems Engineer. Learn more at:
OpenCourser.com/career/w5fi4i/recommendation
Reading list
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Provides a comprehensive overview of word embeddings for natural language processing, with a focus on practical applications.
Provides a comprehensive overview of embedding methods for natural language processing, covering both theoretical foundations and practical applications.
Provides a general introduction to neural network methods for natural language processing, with a section dedicated to embeddings.
Is dedicated to the topic of transformers in natural language processing, including a section on embeddings.
Practical guide to learning word embeddings using Word2Vec in Python. It covers the fundamentals of NLP and word embedding models, making it suitable for beginners.
Practical guide to natural language processing with Python, with a focus on embedding techniques.
Provides a general introduction to deep learning for natural language processing, with a section dedicated to embeddings.
For more information about how these books relate to this course, visit:
OpenCourser.com/career/w5fi4i/recommendation