Machine Learning With Python

By Ajit Singh. 2019

2,195 citations recorded by the source corpus.

Subfields: Evaluation & Benchmarks

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Evaluation & Benchmarks

1. Andrew F. Zahrt
2. Zoë Steier
3. Dilip Krishnan
4. Josh Tenenbaum
5. Phillip Isola
6. Yue Wang
7. Tim Wang
8. Nir Yosef

Citations in the corpus

• Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? (2020, methodology): “We use the implementations in scikit-learn [1] for the base classifier.”
• Joint probabilistic modeling of single-cell multi-omic data with totalVI (2021, methodology): “Factor analysis (FA) models were fit using the sklearn package [73] on the combined RNA and Gayoso et al.”