information Retrieval Course
This course equips you with essential techniques for modern information retrieval in tech applications. Delve into keyword-based methods such as TF-IDF and BM25, alongside advanced semantic search using embeddings, ANN indexing, and comprehensive relevance evaluation. Design scalable search solutions that accurately interpret user intent and perform reliably on large-scale real-world datasets, ensuring high precision and user satisfaction.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain practical skills in building effective search systems. Start with keyword techniques like TF-IDF and BM25, then progress to semantic methods using embeddings, approximate nearest neighbours, and efficient indexing. Master dataset analysis, user intent modelling, test query creation, relevance labelling, precision@5 evaluation, and strategies for improvement via monitoring, A/B testing, and basic learning-to-rank.
Elevify advantages
Develop skills
- Build semantic search systems with embedding indexes for quick and accurate results.
- Implement and fine-tune TF-IDF and BM25 models to boost search ranking precision.
- Analyse search datasets by examining tags, content, and quality metrics to improve recall.
- Model user search intent by developing realistic queries linked to relevant resources.
- Evaluate search performance through A/B tests, relevance labelling, and precision@5 metrics.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
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