About this document
Some Gaps in Machine Learning by editor.ijcrsetjournals is a document available to read on EtoBox.
The editorial discusses the complexities and gaps in Machine Learning, emphasizing its relationship with mathematics, science, and technology. It critiques the current results-oriented paradigm that prioritizes outcomes over explainability and interpretability, highlighting the challenges in formulating hypotheses based on Machine Learning algorithms. The author advocates for a focus on explainability and interpretability to enhance understanding and application of Machine Learning methods.
- Author
- editor.ijcrsetjournals
- Language
- EN