Machine Learning Term

 

°­È­ ÇнÀ (Reinforcement learning)

°íÀüÀû Á¶°ÇÈ­ (classical conditioning)

°üÂû¿¡ ÀÇÇÑ ÇнÀ (Learning by Observation)

±ºÁýÈ­ (Clustering)

±Í³³¹ý (Induction)

±Í³³Àû ÇнÀ (Learning by Induction)

±â°è ÇнÀ (Machine Learning)

±â¾ï (Memory)

³í¸®ÇÐ (Logic)

µ¥ÀÌŸ¸¶ÀÌ´× (Data Mining)

µö ·¯´× (Deep Learning)

µÎ³ú (brain)

·Îº¿°øÇÐ (Robotics)

¹®Á¦ÇØ°á (Problem Solving)

¹ß°ß¿¡ ÀÇÇÑ ÇнÀ (Learning by Discovery)

º£ÀÌÁî Á¤¸® (Bayes' Theorem)

»ç·Ê±â¹Ý Ãß·Ð (Case Based Reasoning)

»ç·Ê¿¡ ÀÇÇÑ ÇнÀ (Learning from Examples)

4Â÷ »ê¾÷Çõ¸í (Fourth Industrial Revolution)

½Å°æ¸Á ÇнÀ (Neural Network Learning)

½Å°æ¸Á (Neural Network)

½Å°æ»ý¸®ÇÐ (Neurophysiology)

½Å°æ¼¼Æ÷ (Neuron)

½É¸®ÇÐ (Psychology)

¾Ï±â ÇнÀ (Rote Learning) : ¹Ýº¹¿¡ ÀÇÇÑ ÇнÀ

¿¡ÀÌÀüÆ® (Agent)

¿¬°áÁÖÀÇ (Connectionism)

¿¹Ãø (Prediction)

À¯Àü¾Ë°í¸®Áò (Genetic Algorithm)

À¯Ãß ÇнÀ (Learning by Analogy)

ÀÇ»ç°áÁ¤ Æ®¸® (Decision Tree)

ÀΰøÁö´É (Artificial Intelligence)

ÀÎÁö ÇнÀ (cognitive learning)

ÀÚ±âÁ¶Á÷È­ ¸Ê (Self-Organizing Map)

ÀÚÀ²ÇнÀ (Unsupervised Learning)

Àü¹®°¡½Ã½ºÅÛ (Expert System)

Á¶ÀÛÀû Á¶°ÇÈ­ (operant conditioning)

Ãß·Ð (Reasoning)

ÆÐÅÏ ÀÎ½Ä (Pattern Recognition)

ÇнÀ (Learning)

ÇнÀ ½É¸®ÇÐ (Learning Psychology)

ÇñÀÇ ÇнÀ ±ÔÄ¢ (Hebbian learning rule)

Burrhus Skinner

Edward Thorndike

Ivan Pavlov

Roger Schank