본문 바로가기
반응형

인공지능29

scikit-learn CV(Cross Validation) scikit-learn.org/stable/modules/cross_validation.html 3.1. Cross-validation: evaluating estimator performance Learning the parameters of a prediction function and testing it on the same data is a methodological mistake: a model that would just repeat the labels of the samples that it has just seen would have a perfect score but would fail to predict anything useful on yet-unseen data. This situa.. 2021. 5. 4.
한국어 말뭉치 목록 github.com/ko-nlp/Korpora ko-nlp/Korpora Korean corpus repository. Contribute to ko-nlp/Korpora development by creating an account on GitHub. github.com Korpora: Korean Corpora Archives Due to the growing interest in natural language processing, governments, businesses, and individuals are disclosing their data for free. However, even for a high-quality corpus, its existence is often unknown as .. 2021. 2. 23.
COMPUTING MACHINERY AND INTELLIGENCE - A. Turing 1950 paper A. M. Turing (1950) Computing Machinery and Intelligence. Mind 49: 433-460. COMPUTING MACHINERY AND INTELLIGENCE By A. M. Turing 1. The Imitation Game I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but th.. 2021. 2. 8.
main() for Micro Controller // Expose a C friendly interface for main functions. #ifdef __cplusplus extern "C" { #endif // Initializes all data needed for the example. The name is important, and needs // to be setup() for Arduino compatibility. void setup(); // Runs one iteration of data gathering and inference. This should be called // repeatedly from the application code. The name needs to be loop() for Arduino // compat.. 2020. 11. 12.
반응형