Semantic Search With Sentence Transformers and a Cross-Encoder Model
Continuing the Sentence Transformers exploration, I use a cross-encoder model to rank my notebooks by similarity to search queries.
machine-learning
4 posts
Semantic Search With Sentence Transformers and a Bi-Encoder Model
Here I use sentence transformers and a bi-encoder model to encode my notebooks as embeddings and implement semantic search.
Cosine Similarity Breakdown in LaTeX
A mathematical breakdown of cosine similarity, with copy-pastable LaTeX.
Exploratory Data Analysis: Product Recommendations
In data science, EDA is an exploratory analysis of a data set. The goal is to better understand the stories that the data tells, and to uncover interesting ideas that may turn into new hypotheses to explore.