What is Feature Extraction? Definition | AI Understanding

Nkọwa

Na-atụgharị data raw ka ọ bụrụ njirimara ozi nke ihe nlereanya nwere ike iji.

Okwu ndị metụtara

Model agbakwunyere

Nlereanya pụrụ iche maka ịtụgharị data ka ọ bụrụ vectors ejiri maka nyocha ọmụmụ, nchịkọta, na iweghachite.

Ụlọ ahịa atụmatụ

Sistemụ jikwaa maka ịchekwa na ịnye njirimara ML akwadoro mgbe niile maka ọzụzụ na ntinye aka.

Ngbanwe na data ntinye n'ezie n'ụwa ka oge na-aga nke nwere ike imebi arụmọrụ nlereanya.

Ịkpọ aha data

Usoro nke ekenye mkpado ma ọ bụ nsonaazụ ebumnuche na data raw maka mmụta a na-elekọta.

Multimodal Model

Ụdị nke nwere ike ịhazi ma ọ bụ mepụta ọtụtụ ụdị data dịka ederede, onyonyo, na ọdịyo.

Nlereanya na-edobe ajụjụ na akwụkwọ n'ime vector dị iche iche ka enwere ike iji ha tụnyere ngwa ngwa n'ogo.

Mụtakwuo na ntuziaka efu anyị

Linear Probing and Frozen Feature Evaluation Feature Engineering Pipelines and Data Versioning Online and Offline Feature Serving Skew Feature Pyramid Networks

Hụkwa

Feature Engineering Few-Shot Learning Feature Fine-Tuning False Positive Foundation Model False Negative Function Calling

Chọgharịa akwụkwọ nkọwa AI zuru ezu Nyochaa ntuziaka AI niile efu