Information Retrieval Course
4.3/5
This course offers a practical introduction to building effective search systems, covering keyword-based methods like TF-IDF and BM25, semantic search with embeddings and ANN indexing, data analysis, user intent modeling, and evaluation techniques including precision@5, A/B testing, and learning-to-rank.
4.3 in rating
flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Information Retrieval Course provides a quick, hands-on way to create top-notch search systems. You will cover basic keyword approaches, TF-IDF, and BM25, then move on to semantic search using embeddings, ANN, and efficient indexing. Learn to examine datasets, understand user needs, create test searches, mark relevant results, measure precision@5, and make real enhancements through tracking, A/B testing, and basic learning-to-rank techniques.
Elevify advantages
Develop skills
- Build semantic search: design embedding indexes for quick, relevant outcomes.
- Implement TF-IDF and BM25: adjust ranking models for better search accuracy.
- Analyze search data: examine tags, content areas, and quality to improve recall.
- Model user intent: create realistic searches and link them to appropriate resources.
- Evaluate search quality: conduct A/B tests, label relevance, and compare precision@5.
Suggested summary
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 workloadWhat our students say
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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
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